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Temporal Supervised Contrastive Learning for Modeling Patient Risk
  Progression

Temporal Supervised Contrastive Learning for Modeling Patient Risk Progression

10 December 2023
Shahriar Noroozizadeh
Jeremy C. Weiss
George H. Chen
ArXivPDFHTML

Papers citing "Temporal Supervised Contrastive Learning for Modeling Patient Risk Progression"

8 / 8 papers shown
Title
Forecasting from Clinical Textual Time Series: Adaptations of the Encoder and Decoder Language Model Families
Forecasting from Clinical Textual Time Series: Adaptations of the Encoder and Decoder Language Model Families
Shahriar Noroozizadeh
Sayantan Kumar
Jeremy C. Weiss
AI4TS
33
0
0
14 Apr 2025
Reconstructing Sepsis Trajectories from Clinical Case Reports using LLMs: the Textual Time Series Corpus for Sepsis
Reconstructing Sepsis Trajectories from Clinical Case Reports using LLMs: the Textual Time Series Corpus for Sepsis
Shahriar Noroozizadeh
Jeremy C. Weiss
29
1
0
12 Apr 2025
Advancing Precision Oncology Through Modeling of Longitudinal and Multimodal Data
Advancing Precision Oncology Through Modeling of Longitudinal and Multimodal Data
Luoting Zhuang
Stephen H. Park
Steven J. Skates
Ashley E. Prosper
Denise R. Aberle
William Hsu
119
0
0
11 Feb 2025
MEDS-Tab: Automated tabularization and baseline methods for MEDS
  datasets
MEDS-Tab: Automated tabularization and baseline methods for MEDS datasets
Nassim Oufattole
Teya Bergamaschi
Aleksia Kolo
Hyewon Jeong
Hanna Gaggin
Collin M. Stultz
Matthew B. A. McDermott
49
1
0
31 Oct 2024
Semi-Supervised Generative Models for Disease Trajectories: A Case Study
  on Systemic Sclerosis
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
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
With a Little Help from My Friends: Nearest-Neighbor Contrastive
  Learning of Visual Representations
With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations
Debidatta Dwibedi
Y. Aytar
Jonathan Tompson
P. Sermanet
Andrew Zisserman
SSL
191
454
0
29 Apr 2021
Contrastive Representation Learning: A Framework and Review
Contrastive Representation Learning: A Framework and Review
Phúc H. Lê Khắc
Graham Healy
Alan F. Smeaton
SSL
AI4TS
178
686
0
10 Oct 2020
1