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

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

6 May 2024
Xiaochen Zheng
Manuel Schürch
Xingyu Chen
M. A. Komninou
Reto Schüpbach
Ahmed Allam
Jan Bartussek
Michael Krauthammer
ArXivPDFHTML

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

1 / 1 papers shown
Title
Temporal Supervised Contrastive Learning for Modeling Patient Risk
  Progression
Temporal Supervised Contrastive Learning for Modeling Patient Risk Progression
Shahriar Noroozizadeh
Jeremy C. Weiss
George H. Chen
32
7
0
10 Dec 2023
1