ORCID Profile
0000-0002-7848-9008
Current Organisations
Swinburne University of Technology
,
Deakin University
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Publisher: Georg Thieme Verlag KG
Date: 14-02-2023
DOI: 10.1055/A-2035-3008
Abstract: Background Health care has evolved to support the involvement of in iduals in decision making by, for ex le, using mobile apps and wearables that may help empower people to actively participate in their treatment and health monitoring. While the term “participatory health informatics” (PHI) has emerged in literature to describe these activities, along with the use of social media for health purposes, the scope of the research field of PHI is not yet well defined. Objective This article proposes a preliminary definition of PHI and defines the scope of the field. Methods We used an adapted Delphi study design to gain consensus from participants on a definition developed from a previous review of literature. From the literature we derived a set of attributes describing PHI as comprising 18 characteristics, 14 aims, and 4 relations. We invited researchers, health professionals, and health informaticians to score these characteristics and aims of PHI and their relations to other fields over three survey rounds. In the first round participants were able to offer additional attributes for voting. Results The first round had 44 participants, with 28 participants participating in all three rounds. These 28 participants were gender-balanced and comprised participants from industry, academia, and health sectors from all continents. Consensus was reached on 16 characteristics, 9 aims, and 6 related fields. Discussion The consensus reached on attributes of PHI describe PHI as a multidisciplinary field that uses information technology and delivers tools with a focus on in idual-centered care. It studies various effects of the use of such tools and technology. Its aims address the in iduals in the role of patients, but also the health of a society as a whole. There are relationships to the fields of health informatics, digital health, medical informatics, and consumer health informatics. Conclusion We have proposed a preliminary definition, aims, and relationships of PHI based on literature and expert consensus. These can begin to be used to support development of research priorities and outcomes measurements.
Publisher: Springer Science and Business Media LLC
Date: 12-10-2023
Publisher: ACM
Date: 04-02-2020
Publisher: IEEE
Date: 12-2017
Publisher: IEEE
Date: 08-01-2023
Publisher: American Society for Microbiology
Date: 28-02-2023
Abstract: Klebsiella pneumoniae is one of the pathogens that is sweeping the world in the antibiotic resistance pandemic. Klebsiella colonizes the nasopharynx and the gut of healthy subjects in an asymptomatic manner, making gut colonization a requisite for infection. This makes it essential to understand the gastrointestinal carriage in preventing Klebsiella infections.
Publisher: S. Karger AG
Date: 20-07-2022
DOI: 10.1159/000525536
Abstract: We found that histamine (10 sup −9 /sup M) did not have any effect on the i in vitro /i capture of i Escherichia coli /i by neutrophils but accelerated its intracellular killing. In contrast, histamine (10 sup −6 /sup M) delayed the capture of i Escherichia coli /i by neutrophils and reduced the amounts of pHrodo zymosan particles inside acidic mature phagosomes. Histamine acted through the H sub /sub R and the H sub /sub R, which are coupled to the Src family tyrosine kinases or the cAMP rotein kinase A pathway, respectively. The protein kinase A inhibitor H-89 abrogated the delay in bacterial capture induced by histamine (10 sup −6 /sup M) and the Src family tyrosine kinase inhibitor PP2 blocked histamine (10 sup −9 /sup M) induced acceleration of bacterial intracellular killing and tyrosine phosphorylation of proteins. To investigate the role of histamine in pathogenicity, we designed an i Acinetobacter baumannii /i strain deficient in histamine production (hdc::TOPO). i Galleria mellonella /i larvae inoculated with the wild-type i Acinetobacter baumannii /i ATCC 17978 strain (1.1 × 10 sup /sup CFU) died rapidly (100% death within 40 h) but not when inoculated with the i Acinetobacter baumannii /i hdc::TOPO mutant (10% mortality). The concentration of histamine rose in the larval haemolymph upon inoculation of the wild type but not the i Acinetobacter baumannii /i hdc::TOPO mutant, such concentration of histamine blocks the ability of hemocytes from i Galleria mellonella /i to capture i Candida albicans /i i in vitro /i . Thus, bacteria-producing histamine, by maintaining high levels of histamine, may impair neutrophil phagocytosis by hijacking the H sub /sub R.
Publisher: IEEE
Date: 10-2022
Publisher: MDPI AG
Date: 27-04-2023
DOI: 10.3390/A16050227
Abstract: Several approaches have applied Deep Reinforcement Learning (DRL) to Unmanned Aerial Vehicles (UAVs) to do autonomous object tracking. These methods, however, are resource intensive and require prior knowledge of the environment, making them difficult to use in real-world applications. In this paper, we propose a Lightweight Deep Vision Reinforcement Learning (LDVRL) framework for dynamic object tracking that uses the camera as the only input source. Our framework employs several techniques such as stacks of frames, segmentation maps from the simulation, and depth images to reduce the overall computational cost. We conducted the experiment with a non-sparse Deep Q-Network (DQN) (value-based) and a Deep Deterministic Policy Gradient (DDPG) (actor-critic) to test the adaptability of our framework with different methods and identify which DRL method is the most suitable for this task. In the end, a DQN is chosen for several reasons. Firstly, a DQN has fewer networks than a DDPG, hence reducing the computational resources on physical UAVs. Secondly, it is surprising that although a DQN is smaller in model size than a DDPG, it still performs better in this specific task. Finally, a DQN is very practical for this task due to the ability to operate in continuous state space. Using a high-fidelity simulation environment, our proposed approach is verified to be effective.
Publisher: IEEE
Date: 10-2022
Publisher: Springer Science and Business Media LLC
Date: 02-07-2020
Publisher: Massachusetts Medical Society
Date: 13-07-2023
DOI: 10.1056/NEJMC2306483
Publisher: IEEE
Date: 08-2019
Publisher: IEEE
Date: 10-2022
No related grants have been discovered for SRIKANTH THUDUMU.