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OncoTargets and Therapy Volume 17, 2024 - Issue
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ORIGINAL RESEARCH

Development and Validation of a Machine Learning-Based Model Used for Predicting Hepatocellular Carcinoma Risk in Patients with Hepatitis B-Related Cirrhosis: A Retrospective Study

Yixin Hou1 Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, People’s Republic of ChinaView further author information
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Jianguo Yan2 People’s Liberation Army Fifth Medical Center, Beijing, 100039, People’s Republic of ChinaView further author information
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Ke Shi1 Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, People’s Republic of China;3 Department of Gastroenterology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, 100700, People’s Republic of ChinaView further author information
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Xiaoli Liu1 Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, People’s Republic of ChinaView further author information
,
Fangyuan Gao1 Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, People’s Republic of ChinaView further author information
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Tong Wu1 Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, People’s Republic of ChinaView further author information
,
Peipei Meng1 Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, People’s Republic of ChinaView further author information
,
Min Zhang2 People’s Liberation Army Fifth Medical Center, Beijing, 100039, People’s Republic of ChinaCorrespondence[email protected]
View further author information
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Yuyong Jiang1 Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, People’s Republic of ChinaView further author information
&
Xianbo Wang1 Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, People’s Republic of ChinaCorrespondence[email protected]
View further author information
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Pages 215-226 | Received 13 Oct 2023, Accepted 08 Mar 2024, Published online: 23 Mar 2024

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