This paper is in the following e-collection/theme issue:

Clinical Cancer Research (83) Artificial Intelligence (1371) Machine Learning (1465) Electronic Health Records (1053) Clinical Information and Decision Making (1407) Decision Support for Health Professionals (1185)

Published on in Vol 7, No 4 (2021): Oct-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/19812, first published .
Predicting Hepatocellular Carcinoma With Minimal Features From Electronic Health Records: Development of a Deep Learning Model

Predicting Hepatocellular Carcinoma With Minimal Features From Electronic Health Records: Development of a Deep Learning Model

Predicting Hepatocellular Carcinoma With Minimal Features From Electronic Health Records: Development of a Deep Learning Model

Authors of this article:

Chia-Wei Liang1 Author Orcid Image ;   Hsuan-Chia Yang1 Author Orcid Image ;   Md Mohaimenul Islam1 Author Orcid Image ;   Phung Anh Alex Nguyen1 Author Orcid Image ;   Yi-Ting Feng1 Author Orcid Image ;   Ze Yu Hou1 Author Orcid Image ;   Chih-Wei Huang1 Author Orcid Image ;   Tahmina Nasrin Poly1 Author Orcid Image ;   Yu-Chuan Jack Li1 Author Orcid Image
Article Authors Cited by (14) Tweetations (3) Metrics

Chia-Wei Liang   1 , MSc ;   Hsuan-Chia Yang   1 , PhD ;   Md Mohaimenul Islam   1 , PhD ;   Phung Anh Alex Nguyen   1 , PhD ;   Yi-Ting Feng   1 , BSc ;   Ze Yu Hou   1 , BSc ;   Chih-Wei Huang   1 , PhD ;   Tahmina Nasrin Poly   1 , MSc ;   Yu-Chuan Jack Li   1 , PhD

1 Taipei Medical University, Taipei, Taiwan

Corresponding Author:

  • Yu-Chuan Jack Li, PhD
  • Taipei Medical University
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  • Taipei, 106
  • Taiwan
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  • Email: jaak88@gmail.com