Development of a prediction and classification tool in order to establish a pricing process for healthcare pathway

Understanding and analyzing healthcare pathways, especially in high-risk and high-consuming populations, can help optimizing resources allocation. The main objective of this thesis is to develop a predictive algorithm from medico-administrative database which can help classifying patients. The project will consist in describing high-risk and high-consuming patients, assessing their adequacy with recommendations, developing an AI integrated algorithm for routine use, and proposing a pricing process for healthcare pathway.