The aim of the project is to design and develop an innovative solution for personal and mobile healthcare that answers the need of elderly and fragile patients. The system is based on semantic analysis of clinical data integrated with data collected from personal (wearable) and environmental sensors in smart environments through innovative AI algorithms able to predict the individual health status and health risk and to inform clinical decisions.
IEIIT develops ML techniques to build rule-based models to describe and predict the influence of individual behaviors, measured biomarkers, and environmental variables on the health status and health risk.
Funding: Rulex Innovation Labs (Italy)
Timeline: 21 Jan 2019 – 31 Dec 2020