T-Phenotype: Discovering Phenotypes of Predictive Temporal Patterns in Disease Progression

24 February 2023

Papers citing "T-Phenotype: Discovering Phenotypes of Predictive Temporal Patterns in Disease Progression"

5 / 5 papers shown

Title
Semi-Supervised Generative Models for Disease Trajectories: A Case Study on Systemic Sclerosis Cécile Trottet Manuel Schürch Ahmed Allam Imon Barua L. Petelytska ... Mislav Radic Oliver Distler A. Hoffmann-Vold Michael Krauthammer Eustar collaborators MedIm 29 0 0 16 Jul 2024
Clustering of Disease Trajectories with Explainable Machine Learning: A Case Study on Postoperative Delirium Phenotypes Xiaochen Zheng Manuel Schürch Xingyu Chen M. A. Komninou Reto Schüpbach Ahmed Allam Jan Bartussek Michael Krauthammer 29 0 0 06 May 2024
Temporal Supervised Contrastive Learning for Modeling Patient Risk Progression Shahriar Noroozizadeh Jeremy C. Weiss George H. Chen 37 7 0 10 Dec 2023
On the Importance of Step-wise Embeddings for Heterogeneous Clinical Time-Series Rita Kuznetsova Alizée Pace Manuel Burger Hugo Yèche Gunnar Rätsch AI4TS 39 5 0 15 Nov 2023
Identifying acute illness phenotypes via deep temporal interpolation and clustering network on physiologic signatures Yuanfang Ren Yanjun Li Tyler J. Loftus Jeremy A. Balch Kenneth L. Abbott ... Ziyuan Guan B. Shickel Parisa Rashidi T. Ozrazgat-Baslanti A. Bihorac 27 1 0 27 Jul 2023