Modeling Complex Disease Trajectories using Deep Generative Models with Semi-Supervised Latent Processes

Cécile Trottet, Manuel Schürch, Ahmed Allam +6

In this paper, we propose a deep generative time series approach using latent temporal processes for modeling and holistically analyzing complex disease trajectories. We aim to fin…