Advanced Care & Research Center (ACRC)

ACRC

This research programme will develop practical, care-driven technologies that are fit for people in later life. In particular, this means exploring and developing data-driven IoT platforms that can produce accurate data about instant events (e.g. vital signs and serious incidents such as falls), short-term activities (e.g. those of daily living) and long-term pursuits (e.g. physical and mental activities over weeks and months) in order to extract (predictive) information and patterns that can be used, among other things, for effective interventions and the prevention of adverse outcomes.

This will develop digitised models of care to allow for meaningful understanding and decision support. This includes models that capture knowledge about care pathways, guidelines, and practices, as well as individual needs and circumstances. These will be used to inform the new models of care work package. Explainable models using AI on existing data to produce alerts and insights towards meaningful interventions. Finally, we will use these digital models to provide predictive performance measures under different circumstances and ageing population trends.

Jiawei Zheng
Jiawei Zheng
Postdoctoral Research Fellow

Jiawei Zheng’s research interests include AI, Data Science, Blockchain, Process Mining, and IoT.

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