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SCEHR: Supervised Contrastive Learning for Clinical Risk Prediction
  using Electronic Health Records

SCEHR: Supervised Contrastive Learning for Clinical Risk Prediction using Electronic Health Records

11 October 2021
Chengxi Zang
Fei Wang
ArXivPDFHTML

Papers citing "SCEHR: Supervised Contrastive Learning for Clinical Risk Prediction using Electronic Health Records"

12 / 12 papers shown
Title
VisTA: Vision-Text Alignment Model with Contrastive Learning using Multimodal Data for Evidence-Driven, Reliable, and Explainable Alzheimer's Disease Diagnosis
VisTA: Vision-Text Alignment Model with Contrastive Learning using Multimodal Data for Evidence-Driven, Reliable, and Explainable Alzheimer's Disease Diagnosis
Duy-Cat Can
Linh D. Dang
Quang-Huy Tang
Dang Minh Ly
Huong Ha
Guillaume Blanc
Oliver Y. Chén
Binh T. Nguyen
69
1
0
03 Feb 2025
NoteContrast: Contrastive Language-Diagnostic Pretraining for Medical
  Text
NoteContrast: Contrastive Language-Diagnostic Pretraining for Medical Text
Prajwal Kailas
Max Homilius
Rahul C. Deo
Calum A. MacRae
104
0
0
16 Dec 2024
SMART: Towards Pre-trained Missing-Aware Model for Patient Health Status
  Prediction
SMART: Towards Pre-trained Missing-Aware Model for Patient Health Status Prediction
Zhihao Yu
Xu Chu
Yujie Jin
Yasha Wang
Junfeng Zhao
32
2
0
15 May 2024
FairEHR-CLP: Towards Fairness-Aware Clinical Predictions with
  Contrastive Learning in Multimodal Electronic Health Records
FairEHR-CLP: Towards Fairness-Aware Clinical Predictions with Contrastive Learning in Multimodal Electronic Health Records
Yuqing Wang
Malvika Pillai
Yun Zhao
Catherine M. Curtin
Tina Hernandez-Boussard
27
0
0
01 Feb 2024
Contrastive Learning-based Imputation-Prediction Networks for
  In-hospital Mortality Risk Modeling using EHRs
Contrastive Learning-based Imputation-Prediction Networks for In-hospital Mortality Risk Modeling using EHRs
Yuxi Liu
Zhenhao Zhang
S. Qin
Flora D. Salim
Antonio Jimeno Yepes
38
6
0
19 Aug 2023
LATTE: Label-efficient Incident Phenotyping from Longitudinal Electronic
  Health Records
LATTE: Label-efficient Incident Phenotyping from Longitudinal Electronic Health Records
Jun Wen
Jue Hou
Clara-Lea Bonzel
Yihan Zhao
Victor Castro
...
J. M. Gaziano
K. Liao
Junwei Lu
Kelly Cho
Tianxi Cai
BDL
21
4
0
19 May 2023
Enhancing Activity Prediction Models in Drug Discovery with the Ability
  to Understand Human Language
Enhancing Activity Prediction Models in Drug Discovery with the Ability to Understand Human Language
Philipp Seidl
Andreu Vall
Sepp Hochreiter
G. Klambauer
65
37
0
06 Mar 2023
Self-Supervised Predictive Coding with Multimodal Fusion for Patient
  Deterioration Prediction in Fine-grained Time Resolution
Self-Supervised Predictive Coding with Multimodal Fusion for Patient Deterioration Prediction in Fine-grained Time Resolution
Kwanhyung Lee
John Won
Heejung Hyun
Sangchul Hahn
Edward Choi
Joohyung Lee
20
3
0
29 Oct 2022
Self-supervised Co-training for Video Representation Learning
Self-supervised Co-training for Video Representation Learning
Tengda Han
Weidi Xie
Andrew Zisserman
SSL
215
309
0
19 Oct 2020
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
Contrastive Learning of Medical Visual Representations from Paired
  Images and Text
Contrastive Learning of Medical Visual Representations from Paired Images and Text
Yuhao Zhang
Hang Jiang
Yasuhide Miura
Christopher D. Manning
C. Langlotz
MedIm
35
731
0
02 Oct 2020
StageNet: Stage-Aware Neural Networks for Health Risk Prediction
StageNet: Stage-Aware Neural Networks for Health Risk Prediction
Junyi Gao
Cao Xiao
Yasha Wang
Wen Tang
Lucas Glass
Jimeng Sun
37
92
0
24 Jan 2020
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