Developing deep learning-based strategies to predict the risk of hepatocellular carcinoma among patients with nonalcoholic fatty liver disease from electronic health records-Reference-Cited by-同舟云学术

Developing deep learning-based strategies to predict the risk of hepatocellular carcinoma among patients with nonalcoholic fatty liver disease from electronic health records

Published:2024-04 Issue: Volume:152 Page:104626
ISSN:1532-0464
Container-title:Journal of Biomedical Informatics
language:en
Short-container-title:Journal of Biomedical Informatics

Author:

Li Zhao^ORCID,Lan Lan,Zhou Yujia^ORCID,Li Ruoxing,Chavin Kenneth D.,Xu Hua,Li Liang^ORCID,Shih David J.H.,Jim Zheng W.

Funder

U.S. Department of Defense

Cancer Prevention and Research Institute of Texas

National Institutes of Health

Publisher

Elsevier BV

Reference46 articles.

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4. Non-alcoholic fatty liver disease progresses to hepatocellular carcinoma in the absence of apparent cirrhosis;Ertle;Int. J. Cancer,2011

5. Doctor AI: predicting clinical events via recurrent neural networks;Choi;JMLR Workshop and Conference Proceedings,2016

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