Machine Learning-Based Model Used for Predicting the Risk of Hepatocellular Carcinoma in Patients with Chronic Hepatitis B

The model utilizing artificial neural networks demonstrates strong performance in personalized predictions and could assist in assessing the likelihood of a 10-year risk of HCC in patients suffering from CHB.

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Publication Details

Journal
Journal of Hepatocellular Carcinoma
Published
2025-04-01
DOI
https://doi.org/10.2147/jhc.s498463
Citations
2
Primary Topic
Artificial Intelligence in Healthcare
Type
article
Field-Weighted Citation Impact
5.88
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article

Machine Learning-Based Model Used for Predicting the Risk of Hepatocellular Carcinoma in Patients with Chronic Hepatitis B

Tong Wu, Yuyong Jiang, Peipei Meng, Xiaoli Liu et al.
2 citations
Journal of Hepatocellular Carcinoma
Artificial Intelligence in Healthcare
5.88
article

Machine Learning-Based Model Used for Predicting the Risk of Hepatocellular Carcinoma in Patients with Chronic Hepatitis B

Tong Wu, Yuyong Jiang, Peipei Meng, Xiaoli Liu, Yang Zhou, Jianguo Yan, Xiaomin Ji, Feixiang Xiong, Yixin Hou
article en
2 citations

Abstract

The model utilizing artificial neural networks demonstrates strong performance in personalized predictions and could assist in assessing the likelihood of a 10-year risk of HCC in patients suffering from CHB.

Journal of Hepatocellular CarcinomaVol. Volume 12
Capital Medical University (CN), Beijing Ditan Hospital (CN)
Good health and well-being
Openalex Percentile: Top 5%
Artificial Intelligence in Healthcare
5.88
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Machine Learning-Based Model Used for Predicting the Risk of Hepatocellular Carcinoma in Patients with Chronic Hepatitis B — Tong Wu, Yuyong Jiang, et al. · Journal of Hepatocellular Carcinoma (2025) | TGRS Research Map | TGRS