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2024 MLHC MLHC 2024

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

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

🌉 Interdisciplinary Bridge - Artificial Intelligence and Data Science & Analytics

Authors

Cécile Trottet, Manuel Schürch, Ahmed Allam, Imon Shoumitra Barua, Liubov Petelytska, Oliver Distler, Anna-Maria Hoffmann-Vold, Michael Krauthammer

Topics

Artificial Intelligence > Core AI > Interpretability Deep Learning > Models > Generative Models Data Science & Analytics > Applications > Disease Surveillance

Keywords

uncertainty quantification interpretability generative model patient trajectories disentangling latent temporal processes
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