My research mobilizes contributions from Big Data, knowledge engineering, machine learning (notably reinforcement learning), and operational research to design decision support tools. I have collected and processed large volumes of data in various fields: medical imaging (especially for sacroiliac joints), monitoring of chronic pathologies, high-risk pregnancies, and geriatric risk prevention.
This constantly evolving data enriches my work on multivariate time series mining and predictive medicine. It has notably allowed me to develop an algorithm for the early detection of organ decompensation, capable of alerting up to 12 days before the event. This system is currently used by the ARS Pays de Loire in the PHILEMON project as well as in various experimental hospital projects.
The reliability of these results is based on rigorous methodologies validated by clinical trials, in partnership with Mutualité Française, the VyV group, several University Hospitals (Strasbourg, Besançon, Rouen), as well as international structures such as Rehabilitation Hospital No. 3 in Shanghai. These collaborations facilitate access to patients, medical expertise, and industrial valorization opportunities.
This work has led to several PhD theses, numerous scientific publications, and the deployment of a telemonitoring system within the framework of experiments conducted in connection with University Hospitals and home care structures.