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

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cs.LG2024

Semi-Supervised Generative Models for Disease Trajectories: A Case Study on Systemic Sclerosis

Cécile Trottet, Manuel Schürch, Ahmed Allam +11

We propose a deep generative approach using latent temporal processes for modeling and holistically analyzing complex disease trajectories, with a particular focus on Systemic Scle…

cs.LG2023★ 2 cited

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…