LaTiM: Longitudinal representation learning in continuous-time models to predict disease progression

Rachid Zeghlache, Pierre-Henri Conze, Mostafa El Habib Daho +9

This work proposes a novel framework for analyzing disease progression using time-aware neural ordinary differential equations (NODE). We introduce a "time-aware head" in a framewo…