ORCID Profile
0000-0001-8258-0878
Current Organisation
Monash University
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Research Topics
In Research Link Australia (RLA), "Research Topics" refer to ANZSRC FOR and SEO codes. These topics are either sourced from ANZSRC FOR and SEO codes listed in researchers' related grants or generated by a large language model (LLM) based on their publications.
Top 5 Research Topics
ANZSRC Field of Research (FoR)
Information Systems | Decision Support And Group Support Systems | Health Information Systems (Incl. Surveillance) | Information Storage, Retrieval And Management | Simulation And Modelling | Other Artificial Intelligence | Information Systems Development Methodologies | Information Systems Management | Simulation and Modelling | Health Informatics | Decision Support and Group Support Systems | Meteorology
ANZSRC Socio-Economic Objective (SEO)
Information services not elsewhere classified | Technological and organisational innovation | Health and support services not elsewhere classified | Weather | Application tools and system utilities | Computer software and services not elsewhere classified | Application Tools and System Utilities | Health Education and Promotion | Women’s health | Expanding Knowledge in the Information and Computing Sciences | Health education and promotion |
Related Links
Publications
Preface
Publisher: Springer International Publishing
Date: 2014
Physician-Authored Feedback in a Type 2 Diabetes Self-management App: Acceptability Study
Publisher: JMIR Publications Inc.
Date: 10-05-2022
DOI: 10.2196/31736
Abstract: Type 2 diabetes (T2D) is increasingly prevalent in society, in part because of behavioral issues, with sedentary behavior, reduced exercise, and the consumption of foods with a high glycemic index being major contributors. There is evidence for the efficacy of mobile apps in promoting behavior change and lifestyle improvements in people with T2D. Many mobile phone apps help to monitor the condition of people with T2D and inform them about their health. Some of these digital interventions involve patients using apps on their own or in conjunction with health care professionals. This study aimed to test the acceptability of receiving app-based, daily physician feedback for patients with T2D that is informed by the continuous monitoring of their activity, food choices, and glucose profiles, with the aim of encouraging healthier behavior. The GLOOK! app was designed and developed by an academic research team and pilot-tested at an Australian public hospital. A total of 15 patients diagnosed with T2D wore a glucose monitor and an Apple Watch for 12 days. The uploaded data were integrated into the GLOOK! app on the patients’ smartphones, which also enabled the recording of activity and consumed food. A physician provided daily feedback to each in idual through the app based on their data from each of the 12 days. At the beginning and end of the study, data were collected on vital signs, anthropometry, hemoglobin A1c level, fructosamine level, and fasting lipids level. Participants were also interviewed at the beginning and end of the study to assess the acceptability of the intervention and its potential impact on promoting positive behavior change. Over the 12 days of the study, there was a significant reduction of 0.22% (P=.004) in hemoglobin A1c level. There were favorable changes in fructosamine and lipid fractions however, none reached significance. There was also a fall of 0.65 kg in body weight and falls in blood pressure and pulse rate that did not reach significance. Patient feedback on the GLOOK! system was positive. Of the 15 participants, 13 (87%) were enthusiastic about continuing to use the app system if some usability and reliability aspects were improved. All participants regarded the personalized physician feedback as supportive and helpful in understanding their own health behavior. Of the 15 participants, 4 (27%) felt that using the system encouraged long-term behavior changes. A mobile app system that provides people with T2D daily, physician-generated, personalized feedback can produce favorable changes in glycemic and cardiovascular risk parameters—even in the short term—and encourage better self-management of their condition. Study participants found the experience of using the mobile app system acceptable and were motivated to establish longer-term lifestyle improvements through behavior changes.
Conceptual development of an information systems framework for improving continuity in epidemiological research
Publisher: Springer Science and Business Media LLC
Date: 1998
Abstract: Lack of continuity is a problem for survey-based epidemiological research. Poor access to experience and inadequate retention of information means new projects seldom build on successful predecessors to the maximum possible extent. We have designed a data management framework which addresses this problem using a well-known information systems approach. Our ideas provide a means of storing data in a manner which reflects the original research concepts. This makes collected data accessible and understandable without reference to the questionnaire, and allows new questionnaires to be designed quickly and easily. Our framework provides a means for recording developmental, conceptual and other supporting information and documentation which is traditionally poorly conserved. We illustrate the components of the framework using a major Australian epidemiological project as a case study. Once the necessary software is developed, our framework will improve organisational memory within in idual research units and has the potential to become a valuable support tool for survey-based research.
Intelligent Multiattribute Decision Support Model for Medical Triage
Publisher: Elsevier
Date: 2006
Mining social media data to investigate patient perceptions regarding DMARD pharmacotherapy for rheumatoid arthritis
Publisher: BMJ
Date: 03-09-2020
DOI: 10.1136/ANNRHEUMDIS-2020-217333
Abstract: We hypothesise that patients have a positive sentiment regarding biological/targeted synthetic disease modifying anti-rheumatic drugs (b/tsDMARDs) and a negative sentiment towards conventional synthetic agents (csDMARDs). We analysed discussions on social media platforms regarding DMARDs to understand the collective sentiment expressed towards these medications. Treato analytics were used to download all available posts on social media about DMARDs in the context of rheumatoid arthritis. Strict filters ensured that user generated content was downloaded. The sentiment (positive or negative) expressed in these posts was analysed for each DMARD using sentiment analysis. We also analysed the reason(s) for this sentiment for each DMARD, looking specifically at efficacy and side effects. Computer algorithms analysed millions of social media posts and included 54 742 posts about DMARDs. We found that both classes had an overall positive sentiment. The ratio of positive to negative posts was higher for b/tsDMARDs (1.210) than for csDMARDs (1.048). Efficacy was the most commonly mentioned reason in posts with a positive sentiment and lack of efficacy was the most commonly mentioned reason for a negative sentiment. These were followed by the presence/absence of side effects in negative or positive posts, respectively. Public opinion on social media is generally positive about DMARDs. Lack of efficacy followed by side effects were the most common themes in posts with a negative sentiment. There are clear reasons why a DMARD generates a positive or negative sentiment, as the sentiment analysis technology becomes more refined, targeted studies could be done to analyse these reasons and allow clinicians to tailor DMARDs to match patient needs.
An ontology-based framework for real-time collection and visualization of mobile field triage data in mass gatherings
Publisher: IEEE
Date: 2013
An Intelligent Decision Support Model for Aviation Weather Forcasting
Publisher: Springer Berlin Heidelberg
Date: 2001
Introduction to the Special Issue
Publisher: IGI Global
Date: 2006
Abstract: Organisations were always keen to capture and manage what they know. However, the cost and effort was often deemed overwhelming compared to anticipated benefits. In today’s environment, when organisational settings are more fluid and complex, formal mechanisms for identifying and utilising knowledge become an absolute imperative in order to support effective operation. The field of knowledge management (KM) emerged in response to these organisational imperatives. Theories, tools and techniques from a range of reference disciplines, which traditionally focused on organisational issues, was called upon to deal with the cognitive, social and technical needs required to manage the knowledge life cycle. KM is therefore a truly multidisciplinary area of research that requires rigour and relevance to address the organisational imperatives
Knowledge acquisition for organizational memory information systems in decision support
Publisher: Informa UK Limited
Date: 1999
A comparative study of critical success factors for general and healthcare business intelligence systems
Publisher: University of Technology, Sydney
Date: 2018
DOI: 10.5130/ACIS2018.CB
A case-based fuzzy multicriteria decision support model for tropical cyclone forecasting
Publisher: Elsevier BV
Date: 2005
TaxoFinder: A Graph-Based Approach for Taxonomy Learning
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2016
Guest Editorial Introduction to the Special Issue on Advances in Clinical and Health-Care Knowledge Management
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2005
Abstract: Clinical and health-care knowledge management (KM) as a discipline has attracted increasing worldwide attention in recent years. The approach encompasses a plethora of interrelated themes including aspects of clinical informatics, clinical governance, artificial intelligence, privacy and security, data mining, genomic mining, information management, and organizational behavior. This paper introduces key manuscripts which detail health-care and clinical KM cases and applications.
Vaccine Adverse Event Mining of Twitter Conversations: 2-Phase Classification Study (Preprint)
Publisher: JMIR Publications Inc.
Date: 16-10-2021
Abstract: raditional monitoring for adverse events following immunization (AEFI) relies on various established reporting systems, where there is inevitable lag between an AEFI occurring and its potential reporting and subsequent processing of reports. AEFI safety signal detection strives to detect AEFI as early as possible, ideally close to real time. Monitoring social media data holds promise as a resource for this. he primary aim of this study is to investigate the utility of monitoring social media for gaining early insights into vaccine safety issues, by extracting vaccine adverse event mentions (VAEMs) from Twitter, using natural language processing techniques. The secondary aims are to document the natural language processing techniques used and identify the most effective of them for identifying tweets that contain VAEM, with a view to define an approach that might be applicable to other similar social media surveillance tasks. VAEM-Mine method was developed that combines topic modeling with classification techniques to extract maximal VAEM posts from a vaccine-related Twitter stream, with high degree of confidence. The approach does not require a targeted search for specific vaccine reaction–indicative words, but instead, identifies VAEM posts according to their language structure. he VAEM-Mine method isolated 8992 VAEMs from 811,010 vaccine-related Twitter posts and achieved an i F /i sub /sub score of 0.91 in the classification phase. ocial media can assist with the detection of vaccine safety signals as a valuable complementary source for monitoring mentions of vaccine adverse events. A social media–based VAEM data stream can be assessed for changes to detect possible emerging vaccine safety signals, helping to address the well-recognized limitations of passive reporting systems, including lack of timeliness and underreporting.
An efficient vertical-Apriori Mapreduce algorithm for frequent item-set mining
Publisher: IEEE
Date: 06-2015
Personalized mobile tool AskPCOS delivering evidence-based quality information about polycystic ovary syndrome
Publisher: Georg Thieme Verlag KG
Date: 2018
Abstract: Despite polycystic ovary syndrome (PCOS) being the most common endocrine condition affecting reproductive-aged women, studies have shown the information needs of PCOS consumers are not currently met. The expressed need by women with PCOS for accessible, evidence-based personalized PCOS information informed the design and development of the PCOS mobile tool—AskPCOS. The App provides a range of unique features such as: evidence-based PCOS health information, self-diagnostic function, a question prompt list to optimize health practitioner engagement, and a commonly asked questions list. A five-phase App development process involved extensive stakeholder consultation, system architecture design, development of the content repository, system prototyping, and evaluation. AskPCOS is the first evidence-based, consumer-driven mobile App developed by women and for women with PCOS and utilizes innovative technology to empower PCOS consumers and optimize health outcomes. The App content repository is enhanced by the best available evidence and expertise extracted from the International Evidence-Based Guideline in PCOS (2018). The AskPCOS App has extensive data capture capability through the usage of data gathering functions and backend analytics to optimize responsiveness to consumer needs. In addition, the multilingual content and not-for-profit cost model is designed to facilitate worldwide adoption of the tool, and address PCOS information inequities in developing countries.
Working with communities: Community partnership research in information technology, management and systems [Guest Editor's introduction]
Publisher: Informa UK Limited
Date: 09-2012
Investigating Individuals’ Perceptions Regarding the Context Around the Low Back Pain Experience: Topic Modeling Analysis of Twitter Data
Publisher: JMIR Publications Inc.
Date: 23-12-2021
DOI: 10.2196/26093
Abstract: Low back pain (LBP) remains the leading cause of disability worldwide. A better understanding of the beliefs regarding LBP and impact of LBP on the in idual is important in order to improve outcomes. Although personal experiences of LBP have traditionally been explored through qualitative studies, social media allows access to data from a large, heterogonous, and geographically distributed population, which is not possible using traditional qualitative or quantitative methods. As data on social media sites are collected in an unsolicited manner, in iduals are more likely to express their views and emotions freely and in an unconstrained manner as compared to traditional data collection methods. Thus, content analysis of social media provides a novel approach to understanding how problems such as LBP are perceived by those who experience it and its impact. The objective of this study was to identify contextual variables of the LBP experience from a first-person perspective to provide insights into in iduals’ beliefs and perceptions. We analyzed 896,867 cleaned tweets about LBP between January 1, 2014, and December 31, 2018. We tested and compared latent Dirichlet allocation (LDA), Dirichlet multinomial mixture (DMM), GPU-DMM, biterm topic model, and nonnegative matrix factorization for identifying topics associated with tweets. A coherence score was determined to identify the best model. Two domain experts independently performed qualitative content analysis of the topics with the strongest coherence score and grouped them into contextual categories. The experts met and reconciled any differences and developed the final labels. LDA outperformed all other algorithms, resulting in the highest coherence score. The best model was LDA with 60 topics, with a coherence score of 0.562. The 60 topics were grouped into 19 contextual categories. “Emotion and beliefs” had the largest proportion of total tweets (157,563/896,867, 17.6%), followed by “physical activity” (124,251/896,867, 13.85%) and “daily life” (80,730/896,867, 9%), while “food and drink,” “weather,” and “not being understood” had the smallest proportions (11,551/896,867, 1.29% 10,109/896,867, 1.13% and 9180/896,867, 1.02%, respectively). Of the 11 topics within “emotion and beliefs,” 113,562/157,563 (72%) had negative sentiment. The content analysis of tweets in the area of LBP identified common themes that are consistent with findings from conventional qualitative studies but provide a more granular view of in iduals’ perspectives related to LBP. This understanding has the potential to assist with developing more effective and personalized models of care to improve outcomes in those with LBP.
Usability + usefulness = trust: An exploratory study of Australian health web sites
Publisher: Emerald
Date: 17-10-2008
DOI: 10.1108/10662240810912747
Abstract: The aim is to explore users' reactions to health information web sites from the perspective of trust, retrieval of relevant information and ease‐of‐use, and to establish the link between perceived quality, trust, and usability. An analysis of three Australian health web sites was undertaken. A usability test was conducted on those three web sites resulting in 207 completed user evaluations. The evaluations included both quantitative and qualitative data. The three investigated health information web sites do not meet the needs of health consumers. More details such as how information is selected to engender greater trust need to be provided. The retrieval of relevant information could be improved through the implementation of functionality such as spell checking and information differentiation. Finally, ensuring web sites are easy to use contributes to the level of trust users have in a web site. This was a relatively small study investigating only three generic Australian health web sites, the results however suggest that a larger study looking at other health web sites is needed. For government agencies developing health information web sites more attention needs to be paid to the design of these web sites if users are to be encouraged to use the web site and return. The research suggests that effective health information web sites must be perceived to be of reliable quality, be trustworthy, have some level of intelligence to assist in the retrieval of relevant information, and be easy to use. Although there is much research relating to the relationship between web site design and trust for e‐commerce transactional web sites this work has not been undertaken for web sites designed for information retrieval, in particular little work has been done of health information web sites. This paper fills in some of the gaps.
New horizons at the core of information systems: decision support system advances
Publisher: Springer Science and Business Media LLC
Date: 12-01-2008
TLR9 ligand sequestration by chemokine CXCL4 negatively affects central B cell tolerance
Publisher: Rockefeller University Press
Date: 29-09-2023
DOI: 10.1084/JEM.20230944
INCLUSIVE RESEARCH DESIGN: Unravelling the double hermeneutic spiral
Publisher: Informa UK Limited
Date: 09-2012
Ontology-based service-oriented architecture for emergency management in mass gatherings
Publisher: IEEE
Date: 12-2010
Advancing scholarly publishing through open access biomedical repositories: A knowledge management perspective
Publisher: SAGE Publications
Date: 08-05-2019
Abstract: Scholarly publishing has undergone major changes over the past 50 years. Funder mandates and organisational reporting obligations have heralded the creation of open access repositories, such as institutional and subject repositories. This research draws upon the US PubMed Central (PMC) and Europe PMC, also known as PMC International, as a role model to inform the concept and opportunity for an Australasia open access biomedical repository. PMC International is a leader in making citations and research output, which link to research data, Findable, Accessible, Interoperable and Reusable (FAIR). As repositories approach two decades of development, this paper reports on the potential for an Australasia open access biomedical repository through a knowledge management lens and explores the opportunities for future open access biomedical repositories.
A dynamic model of knowledge management for higher education development
Publisher: IEEE
Date: 07-2006
Multivariate Data-Driven Decision Guidance for clinical scientists
Publisher: IEEE
Date: 04-2013
Challenges and opportunities of mobile data collection in clinical studies
Publisher: ACM
Date: 30-11-2020
Decision support systems in context
Publisher: Springer Science and Business Media LLC
Date: 29-02-2008
A systematic literature review on unnecessary diagnostic testing: The role of ICT use
Publisher: Elsevier BV
Date: 11-2020
A decision support tool for supporting individuals living with long-term conditions make informed choices
Publisher: Informa UK Limited
Date: 16-04-2018
Investigating Individuals’ Perceptions Regarding the Context Around the Low Back Pain Experience: Topic Modeling Analysis of Twitter Data (Preprint)
Publisher: JMIR Publications Inc.
Date: 27-11-2020
Abstract: ow back pain (LBP) remains the leading cause of disability worldwide. A better understanding of the beliefs regarding LBP and impact of LBP on the in idual is important in order to improve outcomes. Although personal experiences of LBP have traditionally been explored through qualitative studies, social media allows access to data from a large, heterogonous, and geographically distributed population, which is not possible using traditional qualitative or quantitative methods. As data on social media sites are collected in an unsolicited manner, in iduals are more likely to express their views and emotions freely and in an unconstrained manner as compared to traditional data collection methods. Thus, content analysis of social media provides a novel approach to understanding how problems such as LBP are perceived by those who experience it and its impact. he objective of this study was to identify contextual variables of the LBP experience from a first-person perspective to provide insights into in iduals’ beliefs and perceptions. e analyzed 896,867 cleaned tweets about LBP between January 1, 2014, and December 31, 2018. We tested and compared latent Dirichlet allocation (LDA), Dirichlet multinomial mixture (DMM), GPU-DMM, biterm topic model, and nonnegative matrix factorization for identifying topics associated with tweets. A coherence score was determined to identify the best model. Two domain experts independently performed qualitative content analysis of the topics with the strongest coherence score and grouped them into contextual categories. The experts met and reconciled any differences and developed the final labels. DA outperformed all other algorithms, resulting in the highest coherence score. The best model was LDA with 60 topics, with a coherence score of 0.562. The 60 topics were grouped into 19 contextual categories. “Emotion and beliefs” had the largest proportion of total tweets (157,563/896,867, 17.6%), followed by “physical activity” (124,251/896,867, 13.85%) and “daily life” (80,730/896,867, 9%), while “food and drink,” “weather,” and “not being understood” had the smallest proportions (11,551/896,867, 1.29% 10,109/896,867, 1.13% and 9180/896,867, 1.02%, respectively). Of the 11 topics within “emotion and beliefs,” 113,562/157,563 (72%) had negative sentiment. he content analysis of tweets in the area of LBP identified common themes that are consistent with findings from conventional qualitative studies but provide a more granular view of in iduals’ perspectives related to LBP. This understanding has the potential to assist with developing more effective and personalized models of care to improve outcomes in those with LBP.
Response to ‘Correspondence on ‘Mining social media data to investigate patient perceptions regarding DMARD pharmacotherapy for rheumatoid arthritis’’ by Reuter et al
Publisher: BMJ
Date: 16-02-2021
A knowledge management system framework for an open biomedical repository: communities, collaboration and corroboration
Publisher: Emerald
Date: 10-2020
Abstract: The purpose of this study is to assess the opportunity for a distributed, networked open biomedical repository (OBR) using a knowledge management system (KMS) conceptual framework. An innovative KMS conceptual framework is proposed to guide the transition from a traditional, siloed approach to a sustainable OBR. This paper reports on a cycle of action research, involving literature review, interviews and focus group with leaders in biomedical research, open science and librarianship, and an audit of elements needed for an Australasian OBR these, along with an Australian KM standard, informed the resultant KMS framework. The proposed KMS framework aligns the requirements for an OBR with the people, process, technology and content elements of the KM standard. It identifies and defines nine processes underpinning biomedical knowledge – discovery, creation, representation, classification, storage, retrieval, dissemination, transfer and translation. The results comprise an explanation of these processes and ex les of the people, process, technology and content dimensions of each process. While the repository is an integral cog within the collaborative, distributed open science network, its effectiveness depends on understanding the relationships and linkages between system elements and achieving an appropriate balance between them. The current research has focused on biomedicine. This research builds on the worldwide effort to reduce barriers, in particular paywalls to health knowledge. The findings present an opportunity to rationalize and improve a KMS integral to biomedical knowledge. Adoption of the KMS framework for a distributed, networked OBR will facilitate open science through reducing duplication of effort, removing barriers to the flow of knowledge and ensuring effective management of biomedical knowledge. Achieving quality, permanency and discoverability of a region’s digital assets is possible through ongoing usage of the framework for researchers, industry and consumers. The framework demonstrates the dependencies and interplay of elements and processes to frame an OBR KMS.
Electronic skin wearable sensors for detecting lumbar–pelvic movements
Publisher: MDPI AG
Date: 09-03-2020
DOI: 10.3390/S20051510
Abstract: Background: A nanomaterial-based electronic-skin (E-Skin) wearable sensor has been successfully used for detecting and measuring body movements such as finger movement and foot pressure. The ultrathin and highly sensitive characteristics of E-Skin sensor make it a suitable alternative for continuously out-of-hospital lumbar–pelvic movement (LPM) monitoring. Monitoring these movements can help medical experts better understand in iduals’ low back pain experience. However, there is a lack of prior studies in this research area. Therefore, this paper explores the potential of E-Skin sensors to detect and measure the anatomical angles of lumbar–pelvic movements by building a linear relationship model to compare its performance to clinically validated inertial measurement unit (IMU)-based sensing system (ViMove). Methods: The paper first presents a review and classification of existing wireless sensing technologies for monitoring of body movements, and then it describes a series of experiments performed with E-Skin sensors for detecting five standard LPMs including flexion, extension, pelvic tilt, lateral flexion, and rotation, and measure their anatomical angles. The outputs of both E-Skin and ViMove sensors were recorded during each experiment and further analysed to build the comparative models to evaluate the performance of detecting and measuring LPMs. Results: E-Skin sensor outputs showed a persistently repeating pattern for each movement. Due to the ability to sense minor skin deformation by E-skin sensor, its reaction time in detecting lumbar–pelvic movement is quicker than ViMove by ~1 s. Conclusions: E-Skin sensors offer new capabilities for detecting and measuring lumbar–pelvic movements. They have lower cost compared to commercially available IMU-based systems and their non-invasive highly stretchable characteristic makes them more comfortable for long-term use. These features make them a suitable sensing technology for developing continuous, out-of-hospital real-time monitoring and management systems for in iduals with low back pain.
Understanding the impacts of health information systems on patient flow management: A systematic review across several decades of research
Publisher: Public Library of Science (PLoS)
Date: 12-09-2022
DOI: 10.1371/JOURNAL.PONE.0274493
Abstract: Patient flow describes the progression of patients along a pathway of care such as the journey from hospital inpatient admission to discharge. Poor patient flow has detrimental effects on health outcomes, patient satisfaction and hospital revenue. There has been an increasing adoption of health information systems (HISs) in various healthcare settings to address patient flow issues, yet there remains limited evidence of their overall impacts. To systematically review evidence on the impacts of HISs on patient flow management including what HISs have been used, their application scope, features, and what aspects of patient flow are affected by the HIS adoption. A systematic search for English-language, peer-review literature indexed in MEDLINE and EMBASE, CINAHL, INSPEC, and ACM Digital Library from the earliest date available to February 2022 was conducted. Two authors independently scanned the search results for eligible publications, and reporting followed the PRISMA guidelines. Eligibility criteria included studies that reported impacts of HIS on patient flow outcomes. Information on the study design, type of HIS, key features and impacts was extracted and analysed using an analytical framework which was based on domain-expert opinions and literature review. Overall, 5996 titles were identified, with 44 eligible studies, across 17 types of HIS. 22 studies (50%) focused on patient flow in the department level such as emergency department while 18 studies (41%) focused on hospital-wide level and four studies (9%) investigated network-wide HIS. Process outcomes with time-related measures such as ‘length of stay’ and ‘waiting time’ were investigated in most of the studies. In addition, HISs were found to address flow problems by identifying blockages, streamlining care processes and improving care coordination. HIS affected various aspects of patient flow at different levels of care however, how and why they delivered the impacts require further research.
Digital transformation: Environmental friend or foe? panel discussion at the australasian conference on information systems 2019
Publisher: Association for Information Systems
Date: 2021
DOI: 10.17705/1CAIS.04846
Towards a Blockchain based Fall Prediction Model for Aged Care
Publisher: ACM
Date: 29-01-2019
Discovering Knowledge from Meteorological Databases: A Meteorological Aviation Forecast Study
Publisher: Springer Berlin Heidelberg
Date: 2001
Australian Undergraduate Information Systems Curricula: A Comparative Study
Publisher: Springer International Publishing
Date: 2019
From Computation to Knowledge Management: The Changing Paradigm of Decision Support for Meteorological Forecasting
Publisher: Informa UK Limited
Date: 2001
Ontology-Based Spelling Correction for Searching Medical Information
Publisher: IGI Global
Date: 2007
DOI: 10.4018/978-1-59904-192-6.CH016
Abstract: There has been a paradigm shift in medical practice. More and more consumers are using the Internet as a source for medical information even before seeing a doctor. The well known fact is that medical terms are often hard to spell. Despite advances in technology, the Internet is still producing futile searches when the search terms are misspelled. Often consumers are frustrated with irrelevant information they retrieve as a result of misspelling. An ontology-based search is one way of assisting users in correcting their spelling errors when searching for medical information. This chapter reviews the types of spelling errors that adults make and identifies current technology available to overcome the problem.
Improving service of online health information provision: A case of usage-driven design for health information portals
Publisher: Springer Science and Business Media LLC
Date: 27-05-2015
Advances in E-Health and Mobile Health Monitoring
Publisher: MDPI AG
Date: 08-11-2022
DOI: 10.3390/S22228621
Abstract: E-health as a new industrial phenomenon and a field of research integrates medical informatics, public health and healthcare business, aiming to facilitate the provision of more accessible healthcare services, such as remote health monitoring, reducing healthcare costs and enhancing patient experience [...]
Advances in Intelligent Data Analysis
Publisher: Springer Berlin Heidelberg
Date: 2001
Out-of-Hospital Body Movement Data Collection Using E-Skin Sensors
Publisher: IEEE
Date: 03-2019
Towards an information systems framework for dynamic organizational memory
Publisher: IEEE Comput. Soc. Press
Date: 1997
CFinder: An intelligent key concept finder from text for ontology development
Publisher: Elsevier BV
Date: 07-2014
Addressing the complexities of big data analytics in healthcare: The diabetes screening case
Publisher: Australian Journal of Information Systems
Date: 22-09-2015
Abstract: The healthcare industry generates a high throughput of medical, clinical and omics data of varying complexity and features. Clinical decision-support is gaining widespread attention as medical institutions and governing bodies turn towards better management of this data for effective and efficient healthcare delivery and quality assured outcomes. Amass of data across all stages, from disease diagnosis to palliative care, is further indication of the opportunities and challenges to effective data management, analysis, prediction and optimization techniques as parts of knowledge management in clinical environments. Big Data analytics (BDA) presents the potential to advance this industry with reforms in clinical decision-support and translational research. However, adoption of big data analytics has been slow due to complexities posed by the nature of healthcare data. The success of these systems is hard to predict, so further research is needed to provide a robust framework to ensure investment in BDA is justified. In this paper we investigate these complexities from the perspective of updated Information Systems (IS) participation theory. We present a case study on a large diabetes screening project to integrate, converge and derive expedient insights from such an accumulation of data and make recommendations for a successful BDA implementation grounded in a participatory framework and the specificities of big data in healthcare context.
Investigating Subjective Experience and the Influence of Weather Among Individuals With Fibromyalgia: A Content Analysis of Twitter
Publisher: JMIR Publications Inc.
Date: 19-01-2017
Exploring reasoning mechanisms in ward rounds: A critical realist multiple case study
Publisher: Springer Science and Business Media LLC
Date: 17-08-2018
Data Warehousing and Knowledge Discovery
Publisher: Springer Berlin Heidelberg
Date: 2001
Knowledge management governance: The road to continuous benefits realization
Publisher: SAGE Publications
Date: 06-2012
DOI: 10.1057/JIT.2011.31
Abstract: Investment in knowledge management (KM) programmes is often contentious due to the challenge of meeting the need for continuous and sustainable benefits realization. In KM, the word ‘sustainable’ describes how programmes of strategies to leverage organizational knowledge remain productive over time: that they deliver strategic value to the organization. The focus of this paper falls on the constructs of the governance of KM and on its leadership, in KM strategy devopment and implementation, including risk management, financial controls and transparent evaluation mechanisms for continuous benefits realization. This paper presents a KM governance model and explores its recent validation through six case studies of large, distributed, multinational organizations, and through these introduces the granular constructs of KM governance. Exploration of the impact of KM governance on developing and implementing KM programmes in each case study organization demonstrates that there is a clear nexus between strategic KM governance and benefits realized from those programmes.
Decision support in complex environments: special section
Publisher: Informa UK Limited
Date: 03-04-2015
‘There is a very distinct need for education’ among people with rotator cuff tendinopathy: An exploration of health professionals' attitudes
Publisher: Elsevier BV
Date: 02-2020
Ontology-based spelling correction for searching medical information
Publisher: IGI Global
Date: 2008
DOI: 10.4018/978-1-60566-050-9.CH170
Abstract: There has been a paradigm shift in medical practice. More and more consumers are using the Internet as a source for medical information even before seeing a doctor. The well known fact is that medical terms are often hard to spell. Despite advances in technology, the Internet is still producing futile searches when the search terms are misspelled. Often consumers are frustrated with irrelevant information they retrieve as a result of misspelling. An ontology-based search is one way of assisting users in correcting their spelling errors when searching for medical information. This chapter reviews the types of spelling errors that adults make and identifies current technology available to overcome the problem.
The Role of Knowledge Management Governance in the Implementation of Strategy
Publisher: IEEE
Date: 2006
Biochemically deleterious human NFKB1 variants underlie an autosomal dominant form of common variable immunodeficiency
Publisher: Rockefeller University Press
Date: 02-09-2021
DOI: 10.1084/JEM.20210566
Abstract: Autosomal dominant (AD) NFKB1 deficiency is thought to be the most common genetic etiology of common variable immunodeficiency (CVID). However, the causal link between NFKB1 variants and CVID has not been demonstrated experimentally and genetically, and there has been insufficient biochemical characterization and enrichment analysis. We show that the cotransfection of NFKB1-deficient HEK293T cells (lacking both p105 and its cleaved form p50) with a κB reporter, NFKB1 105, and a homodimerization-defective RELA 65 mutant results in p50:p65 heterodimer–dependent and p65:p65 homodimer–independent transcriptional activation. We found that 59 of the 90 variants in patients with CVID or related conditions were loss of function or hypomorphic. By contrast, 258 of 260 variants in the general population or patients with unrelated conditions were neutral. None of the deleterious variants displayed negative dominance. The enrichment in deleterious NFKB1 variants of patients with CVID was selective and highly significant (P = 2.78 × 10−15). NFKB1 variants disrupting NFKB1 50 transcriptional activity thus underlie AD CVID by haploinsufficiency, whereas neutral variants in this assay should not be considered causal.
Group decision making in health care
Publisher: Informa UK Limited
Date: 10-06-2016
From evidence-based to knowledge-based healthcare: A task-based knowledge management approach
Publisher: Springer New York
Date: 2011
A Mobile Emergency Triage Decision Support System Evaluation
Publisher: IEEE
Date: 2006
Support for real-time decision making in mobile financial applications
Publisher: Springer Science and Business Media LLC
Date: 05-03-2008
Combining data mining and case-based reasoning for intelligent decision support for pathology ordering by general practitioners
Publisher: Elsevier BV
Date: 06-2009
Understanding the drivers on medical workloads: An analysis of spectators at the Australian Football League
Publisher: CSIRO Publishing
Date: 2013
DOI: 10.1071/AH13032
Abstract: Objective. The present study was designed to further understand the psychosocial drivers of crowds impacting on the demand for healthcare. This involved analysing different spectator crowds for medical usage at mass gatherings more specifically, did different football team spectators (of the Australian Football League) generate different medical usage rates. Methods. In total, 317 games were analysed from 10 venues over 2 years. Data were analysed by the ANOVA and Pearson correlation tests. Results. Spectators who supported different football teams generated statistically significant differences in patient presentation rates (PPR) (F15, 618 = 1.998, P = 0.014). The present study confirmed previous findings that there is a positive correlation between the crowd size and PPR at mass gatherings but found a negative correlation between density and PPR (r = –0.206, n = 317, P 0.0005). Conclusions. The present study has attempted to scientifically explore psychosocial elements of crowd behaviour as a driver of demand for emergency medical care. In measuring demand for emergency medical services there is a need to develop a more sophisticated understanding of a variety of drivers in addition to traditional metrics such as temperature, crowd size and other physical elements. In this study we saw that spectators who supported different football teams generated statistically significant differences in PPR. What is known about this topic? Understanding the drivers of emergency medical care is most important in the mass gathering setting. There has been minimal analysis of psychological ‘crowd’ variables. What does this paper add? This study explores the psychosocial impact of supporting a different team on the PPR of spectators at Australian Football League matches. The value of collecting and analysing these types of data sets is to support more balanced planning, better decision support and knowledge management, and more effective emergency medical demand management. What are the implications for practitioners? This information further expands the body of evidence being created to understand the drivers of emergency medical demand and usage. In addition, it supports the planning and management of emergency medical and health-related requirements by increasing our understanding of the effect of elements of ‘crowd’ that impact on medical usage and emergency healthcare.
A data quality framework, method and tools for managing data quality in a health care setting
Publisher: Informa UK Limited
Date: 06-04-2018
Task-based knowledge management approach
Publisher: IGI Global
Date: 2011
DOI: 10.4018/978-1-59904-931-1.CH141
Abstract: In modern organizations, the major role of knowledge management is supporting knowledge work. The concept of knowledge work assumes not only task performance, but also the review and evaluation of the work done in order to understand and learn from the experience. Knowledge work relies on a body of knowledge to support processes that address both the performance of work and the intellective aspects of the work activity (Zuboff, 1988). In this sense knowledge management becomes one of the most important mechanisms in implementing such support. In this article we present task-based knowledge management (TbKM) as an alternative approach to knowledge management (KM).
Decision support in an uncertain and complex world
Publisher: Elsevier BV
Date: 08-2007
Context aware data synchronisation during emergencies
Publisher: Springer International Publishing
Date: 2017
Reconciling business intelligence, analytics and decision support systems: More data, deeper insight
Publisher: Elsevier BV
Date: 07-2021
Decision support for optimizing waste management
Publisher: Informa UK Limited
Date: 25-04-2018
Vaccine Adverse Event Mining of Twitter Conversations: 2-Phase Classification Study
Publisher: JMIR Publications Inc.
Date: 16-06-2022
DOI: 10.2196/34305
Abstract: Traditional monitoring for adverse events following immunization (AEFI) relies on various established reporting systems, where there is inevitable lag between an AEFI occurring and its potential reporting and subsequent processing of reports. AEFI safety signal detection strives to detect AEFI as early as possible, ideally close to real time. Monitoring social media data holds promise as a resource for this. The primary aim of this study is to investigate the utility of monitoring social media for gaining early insights into vaccine safety issues, by extracting vaccine adverse event mentions (VAEMs) from Twitter, using natural language processing techniques. The secondary aims are to document the natural language processing techniques used and identify the most effective of them for identifying tweets that contain VAEM, with a view to define an approach that might be applicable to other similar social media surveillance tasks. A VAEM-Mine method was developed that combines topic modeling with classification techniques to extract maximal VAEM posts from a vaccine-related Twitter stream, with high degree of confidence. The approach does not require a targeted search for specific vaccine reaction–indicative words, but instead, identifies VAEM posts according to their language structure. The VAEM-Mine method isolated 8992 VAEMs from 811,010 vaccine-related Twitter posts and achieved an F1 score of 0.91 in the classification phase. Social media can assist with the detection of vaccine safety signals as a valuable complementary source for monitoring mentions of vaccine adverse events. A social media–based VAEM data stream can be assessed for changes to detect possible emerging vaccine safety signals, helping to address the well-recognized limitations of passive reporting systems, including lack of timeliness and underreporting.
‘Physio’s not going to repair a torn tendon’: patient decision-making related to surgery for rotator cuff related shoulder pain
Publisher: Informa UK Limited
Date: 12-02-2021
DOI: 10.1080/09638288.2021.1879945
Abstract: Rotator cuff related shoulder pain (RCRSP) is a common and disabling shoulder condition and surgical management is becoming more common. The rates and costs of surgical interventions have been on the rise. Understanding decision-making related to surgery and providing adequate information to people with RCRSP may improve patient-centred care and potentially reduce rates of surgery. To explore the decision-making processors of people who have undertaken surgery for RCRSP. An in-depth thematic analysis. Interviews were conducted with patients from Melbourne who had had surgical management for RCRSP. Data were analysed using an inductive thematic approach. Fifteen participants were recruited. Six key themes emerged: (1) Needing to get it done: "It was necessary to remedy the dire situation" (2) Non-surgical treatment experience:" I knew that I'd done all I could" (3) Mechanical problem:" Physio's not going to repair a torn tendon" (4) Trust in medical professionals "If they told me that I needed to swallow a thousand spiders, I would have done it." (5) Varied information sources "Dr Google played a big part in it" (6) Organisational barriers "It was absolutely useless, my insurance." Surgery appears to be commonly precipitated by unremitted severe symptoms and failed non-surgical treatment. While there was strong trust in highly trained surgeons, decision to undergo surgery also drew on questionable pathoanatomical beliefs and instances of inadequate patient information about treatment choices and risks that may be addressed by adopting a more patient-centred care approach.IMPLICATIONS FOR REHABILITATIONUnderstanding decision-making related to surgery and providing adequate information to people with rotator cuff related shoulder pain may improve patient-centred care.Surgery appears to be commonly precipitated by unremitted severe symptoms and failed non-surgical treatment.Decision to undergo surgery sometimes drew on questionable pathoanatomical beliefs.There was strong trust in highly trained surgeons but there were instances of inadequate patient information about treatment choices and risks.
Gestalt Based Evaluation of Health Information Diagrams
Publisher: IEEE
Date: 09-2020
Decision support in the new millennium
Publisher: Elsevier BV
Date: 06-2001
Guest Editors' Introduction
Publisher: World Scientific Pub Co Pte Ltd
Date: 06-2003
Quality of data model for supporting mobile decision making
Publisher: Elsevier BV
Date: 08-2007
Task-Based Knowledge Management
Publisher: IGI Global
Date: 2006
DOI: 10.4018/978-1-59140-573-3.CH110
Abstract: In modern organizations, the major role of knowledge management is supporting knowledge work. The concept of knowledge work assumes not only task performance, but also the review and evaluation of the work done in order to understand and learn from the experience. Knowledge work relies on a body of knowledge to support processes that address both the performance of work and the intellective aspects of the work activity (Zuboff, 1988). In this sense knowledge management becomes one of the most important mechanisms in implementing such support. In this article we present task-based knowledge management (TbKM) as an alternative approach to knowledge management (KM).
Enabling semantic querying in mobile and location-aware DSS for mass gatherings
Publisher: Informa UK Limited
Date: 11-2012
Intelligent Portals for Supporting Medical Information Needs
Publisher: IGI Global
Date: 2008
DOI: 10.4018/978-1-60566-050-9.CH116
Abstract: The aim of this chapter is to review the way portal technology can assist users seeking medical information. There has been an increase in health Internet usage, and better health-care delivery outcomes are predicted as users are better informed when making medical decisions. At the same time, there is much concern about the need for medical portals to meet community information needs. This chapter discusses what constitutes an intelligent portal, discusses desirable portal components and attributes of intelligent portal features, and how these can be implemented to meet the needs of erse users. Seven Australian medical Web sites have been analysed according to intelligence features. The results and analysis are presented and discussed, in particular, with respect to their functionality as defined for intelligent portals. The discussion is focused on the extent to which these attributes help users with their information seeking and therefore support their decision-making processes.
Supporting post-Fordist work practices: a knowledge management framework for supporting knowledge work
Publisher: Emerald
Date: 09-2003
DOI: 10.1108/09593840310489395
Abstract: This paper examines the role of knowledge management and knowledge management systems for supporting knowledge work. In a work environment, knowledge is always situated in a specific context, so an organization benefits from a knowledge management system when such a system is focused on a specific task. Providing support for knowledge work at the task level complements the work practices of actors performing the task. The paper suggests that knowledge management systems can be implemented as intelligent decision support that establishes a joint cognitive process between the system and the actor performing the task. The proposed approach has been derived from our application of a knowledge management framework to a number of field studies. These applications come from various domains and highlight different aspects of the proposed framework. The focus on task performance, as a driving force for knowledge management, unifies these field studies. The paper identifies the issues that emerge from these studies and describes their contribution to the development of the framework. The paper concludes that by privileging knowledge work, task‐based knowledge management can be an effective knowledge management strategy.
With open science gaining traction, do we need an Australasia PubMed Central (PMC)? A qualitative investigation
Publisher: Public Library of Science (PLoS)
Date: 22-02-2019
From traditional practices to a learning community
Publisher: Springer International Publishing
Date: 2014
Biological and information systems approaches
Publisher: IGI Global
Date: 2010
DOI: 10.4018/978-1-59904-931-1.CH007
Abstract: Knowledge of past activities, discoveries, and events is applied by businesses to support everyday operations in much the same manner that human beings use their personal memories. But the true nature of organizational memory (OM) remains obscure, and information-systems practitioners have no clear definitional model of what they are working toward and have been unable to build a convincing organizational memory system (Olfman, 1998).
Where Knowledge Management Resides within Project Management
Publisher: IGI Global
Date: 2005
DOI: 10.4018/978-1-59140-351-7.CH009
Abstract: This chapter explores how an engineering consulting company creates, manages, and reuses knowledge within its projects. It argues that the informal transfer and reuse of knowledge plays a more crucial role than formal knowledge in providing the greatest benefit to the organization. The culture of the organization encourages a reliance on networks (both formal and informal) for the exchange of tacit knowledge, rather than utilizing explicit knowledge. This case study highlights the importance of understanding the drivers of knowledge transfer and reuse in projects. This will provide researchers with an insight into how knowledge management integrates with project management.
Governance of Strategies to Manage Organizational Knowledge
Publisher: IGI Global
Date: 2005
DOI: 10.4018/978-1-59140-351-7.CH006
Abstract: This chapter introduces the theory and model of governance as a means of implementing knowledge management strategies in large organizations. It draws on case study research into the governance of knowledge management strategy implementation in a major scientific research and development facility. It suggests that the implementation of strategy through such a framework operates to ensure the delivery of anticipated benefits in an authorized and regulated manner. Furthermore, the authors hope that an understanding of the theoretical underpinnings of internal governance processes will not only inform researchers of a better design for studying knowledge management systems, but will also assist in the understanding of risks and the role of evaluation and review in the implementation of those strategies.
An Intelligent Content Discovery Technique for Health Portal Content Management
Publisher: JMIR Publications Inc.
Date: 23-04-2014
Understanding digital health ecosystem from Australian citizens’ perspective: A scoping review
Publisher: Public Library of Science (PLoS)
Date: 15-11-2021
DOI: 10.1371/JOURNAL.PONE.0260058
Abstract: Digital health (DH) and the benefits of related services are fairly well understood. However, it still is critical to map the digital health care landscape including the key elements that define it as an ecosystem. Particularly, knowing the perspectives of citizens on this digital transformation is an important angle to capture. In this review we aim to analyze the relevant studies to identify how DH is understood and experienced by Australian citizens and what they may require from DH platforms. A scoping literature review was conducted across several electronic databases (ACM Digital Library, OVID, PubMed, Scopus, IEEE, Science Direct, SAGE), as well as grey literature. Additionally, citation mining was conducted to identify further relevant studies. Identified studies were subjected to eligibility criteria and the final set of articles was independently reviewed, analyzed, discussed and interpreted by three reviewers. Of 3811 articles, 98 articles met the inclusion criteria with research-based articles–as opposed to review articles or white papers– comprising the largest proportion (72%) of the selected literature. The qualitative analysis of the literature revealed five key elements that capture the essence of the digital health ecosystem interventions from the viewpoint of the Australian citizens. The identified elements were “consumer/user”, “health care”, “technology”, “use and usability”, “data and information”. These elements were further found to be associated with 127 subcategories. This study is the first of its kind to analyze and synthesize the relevant literature on DH ecosystems from the citizens’ perspective. Through the lens of two research questions, this study defines the key components that were found crucial to understanding citizens’ experiences with DH. This understanding lays a strong foundation for designing and fostering DH ecosystem. The results provide a solid ground for empirical testing.
Understanding of knowledge management roles and responsibilities: A study in the Australian context
Publisher: Informa UK Limited
Date: 03-2010
DOI: 10.1057/KMRP.2009.18
Codifying collaborative knowledge: Using Wikipedia as a basis for automated ontology learning
Publisher: Informa UK Limited
Date: 09-2009
DOI: 10.1057/KMRP.2009.14
Biological and Information Systems Approaches
Publisher: IGI Global
Date: 2006
DOI: 10.4018/978-1-59140-573-3.CH003
Abstract: Knowledge of past activities, discoveries, and events is applied by businesses to support everyday operations in much the same manner that human beings use their personal memories. But the true nature of organizational memory (OM) remains obscure, and information-systems practitioners have no clear definitional model of what they are working toward and have been unable to build a convincing organizational memory system (Olfman, 1998).
A framework for case-based fuzzy multicriteria decision support for tropical cyclone forecasting
Publisher: IEEE
Date: 2003
Physician-Authored Feedback in a Type 2 Diabetes Self-management App: Acceptability Study (Preprint)
Publisher: JMIR Publications Inc.
Date: 02-07-2021
Abstract: ype 2 diabetes (T2D) is increasingly prevalent in society, in part because of behavioral issues, with sedentary behavior, reduced exercise, and the consumption of foods with a high glycemic index being major contributors. There is evidence for the efficacy of mobile apps in promoting behavior change and lifestyle improvements in people with T2D. Many mobile phone apps help to monitor the condition of people with T2D and inform them about their health. Some of these digital interventions involve patients using apps on their own or in conjunction with health care professionals. his study aimed to test the acceptability of receiving app-based, daily physician feedback for patients with T2D that is informed by the continuous monitoring of their activity, food choices, and glucose profiles, with the aim of encouraging healthier behavior. The i GLOOK! /i app was designed and developed by an academic research team and pilot-tested at an Australian public hospital. total of 15 patients diagnosed with T2D wore a glucose monitor and an Apple Watch for 12 days. The uploaded data were integrated into the i GLOOK! /i app on the patients’ smartphones, which also enabled the recording of activity and consumed food. A physician provided daily feedback to each in idual through the app based on their data from each of the 12 days. At the beginning and end of the study, data were collected on vital signs, anthropometry, hemoglobin A sub c /sub level, fructosamine level, and fasting lipids level. Participants were also interviewed at the beginning and end of the study to assess the acceptability of the intervention and its potential impact on promoting positive behavior change. ver the 12 days of the study, there was a significant reduction of 0.22% ( i P /i =.004) in hemoglobin A sub c /sub level. There were favorable changes in fructosamine and lipid fractions however, none reached significance. There was also a fall of 0.65 kg in body weight and falls in blood pressure and pulse rate that did not reach significance. Patient feedback on the i GLOOK! /i system was positive. Of the 15 participants, 13 (87%) were enthusiastic about continuing to use the app system if some usability and reliability aspects were improved. All participants regarded the personalized physician feedback as supportive and helpful in understanding their own health behavior. Of the 15 participants, 4 (27%) felt that using the system encouraged long-term behavior changes. mobile app system that provides people with T2D daily, physician-generated, personalized feedback can produce favorable changes in glycemic and cardiovascular risk parameters—even in the short term—and encourage better self-management of their condition. Study participants found the experience of using the mobile app system acceptable and were motivated to establish longer-term lifestyle improvements through behavior changes. >
Development and evaluation of ontology for intelligent decision support in medical emergency management for mass gatherings
Publisher: Elsevier BV
Date: 2013
Predicting Patient Length of Stay in Australian Emergency Departments Using Data Mining
Publisher: MDPI AG
Date: 30-06-2022
DOI: 10.3390/S22134968
Abstract: Length of Stay (LOS) is an important performance metric in Australian Emergency Departments (EDs). Recent evidence suggests that an LOS in excess of 4 h may be associated with increased mortality, but despite this, the average LOS continues to remain greater than 4 h in many EDs. Previous studies have found that Data Mining (DM) can be used to help hospitals to manage this metric and there is continued research into identifying factors that cause delays in ED LOS. Despite this, there is still a lack of specific research into how DM could use these factors to manage ED LOS. This study adds to the emerging literature and offers evidence that it is possible to predict delays in ED LOS to offer Clinical Decision Support (CDS) by using DM. Sixteen potentially relevant factors that impact ED LOS were identified through a literature survey and subsequently used as predictors to create six Data Mining Models (DMMs). An extract based on the Victorian Emergency Minimum Dataset (VEMD) was used to obtain relevant patient details and the DMMs were implemented using the Weka Software. The DMMs implemented in this study were successful in identifying the factors that were most likely to cause ED LOS 4 h and also identify their correlation. These DMMs can be used by hospitals, not only to identify risk factors in their EDs that could lead to ED LOS 4 h, but also to monitor these factors over time.
Approaches for the visualization of health information
Publisher: ACM
Date: 29-01-2018
Extending Coordination Theory to the Field of Distributed Group Multiple Criteria Decision-Making
Publisher: Informa UK Limited
Date: 2004
Knowledge acquisition for an organisational memory system
Publisher: IEEE
Date: 1996
Consumer empowerment through metadata-based information quality reporting: The breast cancer knowledge online portal
Publisher: Wiley
Date: 09-2009
DOI: 10.1002/ASI.21096
On-Device Lumbar-Pelvic Movement Detection Using Dual-IMU: A DNN-Based Approach
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2021
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