Jiajie Li is a fourth-year student doing Bachelor of Advanced Computing. He is an intern under the supervision of of Prof. Athman Bouguettaya at the University of Sydney. He is currently involved in the Health Events for the Elderly project.
Machine Learning for Detecting and Predicting Adverse Health Events for the Elderly.
The project leverages in-home behavioral data coupled with contextual data related to age group, ethnicity, and other parameters to provide a highly personalized detection and prevention of adverse events that negatively affect the quality of in-home aging. The study consists of analyzing individual and aggregate living patterns and activities of the elderly based on IoT data. The goal is to provide an efficient carer response protocol by developing machine learning algorithms for detecting and predicting adverse health events for the elderly in a non-obstructive way.