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

Clinical Cancer Research (96) Artificial Intelligence (1707) Machine Learning (1720) Electronic Health Records (1175) Clinical Information and Decision Making (1638) Decision Support for Health Professionals (1334)

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 (18) Tweetations (3) Metrics

Journals

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  11. Asif A, Ahmed F, Zeeshan , Khan J, Allogmani E, Rashidy N, Manzoor S, Anwar M. Machine Learning Based Diagnostic Paradigm in Viral and Non-Viral Hepatocellular Carcinoma. IEEE Access 2024;12:37557 View
  12. Mostafa G, Mahmoud H, Abd El-Hafeez T, E.ElAraby M. The power of deep learning in simplifying feature selection for hepatocellular carcinoma: a review. BMC Medical Informatics and Decision Making 2024;24(1) View
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  15. Hou C, Liu Y. Using artificial intelligence for predictive analysis of dementia awareness among community adult learners and evaluation of dementia-friendliness in community environments. Computers in Human Behavior 2025;167:108604 View
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Books/Policy Documents

  1. Yang H, Li Y. Artificial Intelligence, Machine Learning, and Deep Learning in Precision Medicine in Liver Diseases. View

Conference Proceedings

  1. Sai S, Nirmala P. INTERNATIONAL CONFERENCE ON NEWER ENGINEERING CONCEPTS AND TECHNOLOGY: ICONNECT-2024. Effective methods for detecting liver cancer with higher accuracy using CNN and comparing it to logistic regression View