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20232026
most citedModeling Complex Disease Trajectories using Deep Generative Models with Semi-Supervised Latent Processes

2 citations · 4 across the 11 of their papers we have counts for

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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.LG2024

Clustering of Disease Trajectories with Explainable Machine Learning: A Case Study on Postoperative Delirium Phenotypes

Xiaochen Zheng, Manuel Schürch, Xingyu Chen +5

The identification of phenotypes within complex diseases or syndromes is a fundamental component of precision medicine, which aims to adapt healthcare to individual patient charact…