Annual Seminar of Canceropôle PACA 2023
Image credit: Canceropole-PACA
Abstract
Life expectancy increased due to medical advancements and early screenings. After cancer, individuals face difficulties, including fear of recurrence. This thesis aims to use VICAN data to create an interpretable AI model to identify clinical FCR risks. The study investigates healthcare consumption and plans an AI application for early FCR detection, reducing costs and improving post-cancer quality of life prediction.
Consult the Abstract HERE.
Mamoudou KOUME
Data Scientist Researcher
I am mainly interested in Mathematics and Artificial Intelligence as a whole but more particularly in Machine Learning, Bayesian statistics, Natural Language Processing, Optimization processes (Gradient descent, Gradient boosting...), Signal processing, Inverse problems, and Parsimonious representations.