The PRESIDIO research project aims to provide a conceptual model for exploring and modeling the risk of chronic diseases, in this case depression, to propose new approaches in the management or research of these pathologies, from data sources, multiple (institutional sources, social networks or geolocation) and based on Big Data. More specifically, this project aims to create a new digital model for building and monitoring cohorts in public health by using an application example in the field of mental health and to make heterogeneous data interoperable.
Project Duration: 36 months
Period: Jan 2015 – Jan 2018
Type of Funding: Investissement d’Avenir, Développement de l’Economie Numérique – Prediction of health events in a cohort of patients suffering from depressive disorders
