Special Research Initiatives - Grant ID: SR0567658
Funder
Australian Research Council
Funding Amount
$100,000.00
Summary
A cross-disciplinary collaboration to develop a national system for real-time detection of Adverse Drug Reactions using linked Australian health data. Our aim is to use existing administrative health data in the evidence-based, cost-effective and privacy-respecting discovery of Adverse Drug Reactions. This research is of vital importance, since adverse reactions to medicines currently represent one of the leading causes of hospitalisation and death in Australia. In a groundbreaking collaboration ....A cross-disciplinary collaboration to develop a national system for real-time detection of Adverse Drug Reactions using linked Australian health data. Our aim is to use existing administrative health data in the evidence-based, cost-effective and privacy-respecting discovery of Adverse Drug Reactions. This research is of vital importance, since adverse reactions to medicines currently represent one of the leading causes of hospitalisation and death in Australia. In a groundbreaking collaboration, we have successfully shown that large linked, administrative data sets are sufficiently rich to enable discovery of adverse drug reactions, but our analytic tools are at an early developmental stage. The outcome of this project would be innovative, effective and sustainable analytic tools for the discovery of unexpected associations between drugs and medical events.Read moreRead less
High Frequency Data Stream Event Correlation for Complex Neonatal Medical Alerts. Nearly twenty percent of newborn babies require intensive care after birth. Several electronic instruments monitor a baby's vital signs such as blood oxygen, blood pressure and heart rate. A major limitation in neonatal clinical management is that the data generated by these monitors is not integrated to enable the alerting of condition deterioration or early warning of possible condition onset. This project will d ....High Frequency Data Stream Event Correlation for Complex Neonatal Medical Alerts. Nearly twenty percent of newborn babies require intensive care after birth. Several electronic instruments monitor a baby's vital signs such as blood oxygen, blood pressure and heart rate. A major limitation in neonatal clinical management is that the data generated by these monitors is not integrated to enable the alerting of condition deterioration or early warning of possible condition onset. This project will develop a methodology and technology that supports the cross correlation of neonatal clinical and physiological data for complex neonatal medical alerts, through the use of agents within an event stream processor, resulting in higher survival rates.Read moreRead less
BigPrivacy: Scaling privacy preservation for big data applications on cloud. This project aims to research scalable privacy preservation for big data applications on cloud. Privacy preservation is a major concern for big data applications on cloud, such as health data analysis where user privacy must be preserved. Scalable solutions can preserve privacy so that data analysis such as health diagnosis can be performed quickly. The expected deliverable is a unified scalable privacy preservation fra ....BigPrivacy: Scaling privacy preservation for big data applications on cloud. This project aims to research scalable privacy preservation for big data applications on cloud. Privacy preservation is a major concern for big data applications on cloud, such as health data analysis where user privacy must be preserved. Scalable solutions can preserve privacy so that data analysis such as health diagnosis can be performed quickly. The expected deliverable is a unified scalable privacy preservation framework with associated algorithms and its prototype, which cloud systems can deploy for big data applications.Read moreRead less
Practical methodologies for agent-oritented conceptual modelling. Conceptual modelling involves using knowledge representation techniques to support the requirements engineering phase of the software life-cycle. Agent-oriented conceptual modelling is a relatively new technique that offers significant benefits in modelling complex organisational information systems. However, several problems need to be addressed with current agent-oriented conceptual modelling languages and methodologies. In the ....Practical methodologies for agent-oritented conceptual modelling. Conceptual modelling involves using knowledge representation techniques to support the requirements engineering phase of the software life-cycle. Agent-oriented conceptual modelling is a relatively new technique that offers significant benefits in modelling complex organisational information systems. However, several problems need to be addressed with current agent-oriented conceptual modelling languages and methodologies. In the context of a PhD dissertation, this project will develop an improved agent-oriented conceptual modelling framework and related requirements elicitation techniques drawing on advances in Artificial intelligenct, Requireents Engineering and Organisational Semiotics. The practical deliverables of this project will address the needs of a large complex government organisation.Read moreRead less
Federated Cloud Services Configuration and Orchestration. Cloud computing allows organisations to expand or contract their computing footprint based on existing demand. However, existing cloud delivery models support individual segregated and heterogeneous functionalities, which prevent effective coordinated combination of on-premise and off-premise applications, services, and resources. This project aims to significantly contribute to the scientific foundations for the model-driven and elastic ....Federated Cloud Services Configuration and Orchestration. Cloud computing allows organisations to expand or contract their computing footprint based on existing demand. However, existing cloud delivery models support individual segregated and heterogeneous functionalities, which prevent effective coordinated combination of on-premise and off-premise applications, services, and resources. This project aims to significantly contribute to the scientific foundations for the model-driven and elastic configuration and orchestration of resources over heterogeneous cloud services. The outcomes of the project aim to contribute to lifting productivity and economic growth through interoperable and elastic cloud service technologies as well as delivering appropriate skills for the new digital economy.Read moreRead less
Trust-enhanced recommender systems for personalised government-to-business e-service. This study will transform current Government to Business service to a higher level to enable e-Government systems to offer Personalised e-Service. It will assist business users to significantly increase their use of e-Government services, particularly providing an effective solution to small and medium size businesses for locating business partners by using Government e-Services.
Data Exchange and Service Integration with Applications in Health Information Systems. This project will research and develop an innovative new approach to facilitate real data exchange and service integration across different medical organisations. This approach will significantly improve the quality of health care by providing a solid foundation for integrated medical services, offering on demand and effective access to fragmentally stored patients medical information and minimise the number o ....Data Exchange and Service Integration with Applications in Health Information Systems. This project will research and develop an innovative new approach to facilitate real data exchange and service integration across different medical organisations. This approach will significantly improve the quality of health care by providing a solid foundation for integrated medical services, offering on demand and effective access to fragmentally stored patients medical information and minimise the number of data entry errors injected into the medical information systems. The novel integration model will also enable a new autonomous approach for demographic data collection which is essential for evidenced resource allocation, policy making and disease prevention.Read moreRead less
Eat, cook, grow: Ubiquitous technology for sustainable food culture in the city. Raising people's awareness of healthy and ecological food options with nutritional data and educational information does not foster a sustained practice towards a more environmentally friendly food culture. This study seeks to develop a better understanding how to go beyond just informing and into supporting and sustaining action and change. Drawing on interaction design, ubiquitous computing and real- time informat ....Eat, cook, grow: Ubiquitous technology for sustainable food culture in the city. Raising people's awareness of healthy and ecological food options with nutritional data and educational information does not foster a sustained practice towards a more environmentally friendly food culture. This study seeks to develop a better understanding how to go beyond just informing and into supporting and sustaining action and change. Drawing on interaction design, ubiquitous computing and real- time information, the study will deliver research findings that inform viable new design approaches and information interfaces which will strengthen Australia's position to resolve the problems of obesity, malnutrition and ecological issues of mass food processing, and contribute to the sustainability of life in Australian cities.Read moreRead less
Towards High-Order Structure Search on Large-Scale Graphs. High-order structure search over large-scale graphs has many applications including cybersecurity, crime detection, social media, marketing recommendation, and public health. The project aims to lay the scientific foundations and develop novel computing techniques for efficiently conducting structure search. The outcomes include novel computing paradigms, algorithms, indexing, incremental computation, and distributed solutions. The succe ....Towards High-Order Structure Search on Large-Scale Graphs. High-order structure search over large-scale graphs has many applications including cybersecurity, crime detection, social media, marketing recommendation, and public health. The project aims to lay the scientific foundations and develop novel computing techniques for efficiently conducting structure search. The outcomes include novel computing paradigms, algorithms, indexing, incremental computation, and distributed solutions. The success of the project will directly contribute to the scientific foundation of Big Data computation. It will also contribute to the development of local industry involving cybersecurity, social media based recommendation, network management, and E-business.Read moreRead less
Legacy2Service: A Novel, Model-Driven Technique for Re-engineering On-Demand, Software Services out of Legacy Applications. The proliferation of software-as-a-service applications from "dotcom" players is raising expectations that other industries will make their critical desktop and mainframe software available as web-enabled software-as-a-service and mobile "apps". However, manually re-engineering legacy software is notoriously costly and frequently unsuccessful. This project will make it easi ....Legacy2Service: A Novel, Model-Driven Technique for Re-engineering On-Demand, Software Services out of Legacy Applications. The proliferation of software-as-a-service applications from "dotcom" players is raising expectations that other industries will make their critical desktop and mainframe software available as web-enabled software-as-a-service and mobile "apps". However, manually re-engineering legacy software is notoriously costly and frequently unsuccessful. This project will make it easier and quicker to turn stand-alone programs into online services by automating much of the process. Specifically, it will develop tools: for analysing program code to identify points to implement service interfaces; for displaying existing and new code dependencies visually; and, to help design and implement new software layers that link legacy services to the web.Read moreRead less