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Learning Inter-Modal Correspondence and Phenotypes from Multi-Modal
  Electronic Health Records

Learning Inter-Modal Correspondence and Phenotypes from Multi-Modal Electronic Health Records

IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020
12 November 2020
Kejing Yin
W. K. Cheung
Benjamin C. M. Fung
Jonathan Poon
ArXiv (abs)PDFHTML

Papers citing "Learning Inter-Modal Correspondence and Phenotypes from Multi-Modal Electronic Health Records"

4 / 4 papers shown
Addressing Asynchronicity in Clinical Multimodal Fusion via
  Individualized Chest X-ray Generation
Addressing Asynchronicity in Clinical Multimodal Fusion via Individualized Chest X-ray GenerationNeural Information Processing Systems (NeurIPS), 2024
Wenfang Yao
Chen Liu
Kejing Yin
W. K. Cheung
Jing Qin
236
5
0
23 Oct 2024
Unsupervised EHR-based Phenotyping via Matrix and Tensor Decompositions
Unsupervised EHR-based Phenotyping via Matrix and Tensor Decompositions
Florian Becker
A. Smilde
E. Acar
228
10
0
01 Sep 2022
Multi-Label Clinical Time-Series Generation via Conditional GAN
Multi-Label Clinical Time-Series Generation via Conditional GANIEEE Transactions on Knowledge and Data Engineering (TKDE), 2022
C. Lu
Chandan K. Reddy
Ping Wang
Dong Nie
Yue Ning
SyDa
217
48
0
10 Apr 2022
SWIFT: Scalable Wasserstein Factorization for Sparse Nonnegative Tensors
SWIFT: Scalable Wasserstein Factorization for Sparse Nonnegative Tensors
Ardavan Afshar
Kejing Yin
Sherry H. F. Yan
Cheng Qian
Joyce C. Ho
Haesun Park
Jimeng Sun
271
11
0
08 Oct 2020
1
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