Modelling Behaviours of People Living with Neurodegenerative Conditions.

Applications of AI have found their place in healthcare for improved prediction of disease and associated risks, treatment, and personalization. E-healthcare can substantially improve the quality of life of people with chronic conditions such as neurodegenerative diseases (e.g., Alzheimer's Disease (AD) and Parkinson's Disease (PD)), which are common pathologies in aging people. AD and PD impair senior citizens from performing activities of daily living, increasing the cost of social and health care systems. This paper presents the behavioral analysis module of PROCare4Life, which is an e-healthcare system that focuses on improving the socio-health care of patients with AD and PD. The module generates high-level representations for aspects related to the care of the patients, namely, diseases' symptoms, physical activities, sleep patterns, medication intake, cognitive state, and health records, which are essential variables for further processing in multimodal fusion as part of the decision support system of PROCare4Life. The modular representations are generated from the analysis of long-term patterns of the underlying variables of each category. The proposed modeling benefits from experts' recommendations to improve the monitoring of patients' activities and symptoms.