Personalized patient follow-up
Description
The recruitee will join the BIP-UP ANR project (https://project.inria.fr/bipup/) . This project is based on a collaboration between Scool and a medical team at Inserm/CHU de Lille that have been active for 5 years now. The scientific goal of this collaboration is to investigate the exploitation of data to improve patient follow-up after surgery. We model this problem as a sequential decision making under uncertainty problem. This collaboration has already produced interesting results, in the form of a website (https://bariatric-weight-trajectory-prediction.univ-lille.fr/), presentations in conference (ML and medicine), and publications in top machine learning conferences (NeurIPS et al.), and top medicine journals (The Lancet Digital Health). This collaboration involves about 10 people: data engineer, PhD student, post-doc, researchers, professors.
