Artificial intelligence predicts direct-acting antivirals failure among hepatitis C virus patients: A nationwide hepatitis C virus registry program

Artificial intelligence predicts direct-acting antivirals failure among hepatitis C virus patients: A nationwide hepatitis C virus registry program

Background/Aims Despite the high efficacy of direct-acting antivirals (DAAs), approximately 1–3% of hepatitis C virus (HCV) patients fail to achieve a sustained virological response. We conducted a nationwide study to investigate risk factors associated with DAA treatment failure. Machine-learning a...

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Bibliographic Details
Main Authors: Ming-Ying Lu, Chung-Feng Huang, Chao-Hung Hung, Chi‐Ming Tai, Lein-Ray Mo, Hsing-Tao Kuo, Kuo-Chih Tseng, Ching-Chu Lo, Ming-Jong Bair, Szu-Jen Wang, Jee-Fu Huang, Ming-Lun Yeh, Chun-Ting Chen, Ming-Chang Tsai, Chien-Wei Huang, Pei-Lun Lee, Tzeng-Hue Yang, Yi-Hsiang Huang, Lee-Won Chong, Chien-Lin Chen, Chi-Chieh Yang, Sheng‐Shun Yang, Pin-Nan Cheng, Tsai-Yuan Hsieh, Jui-Ting Hu, Wen-Chih Wu, Chien-Yu Cheng, Guei-Ying Chen, Guo-Xiong Zhou, Wei-Lun Tsai, Chien-Neng Kao, Chih-Lang Lin, Chia-Chi Wang, Ta-Ya Lin, Chih‐Lin Lin, Wei-Wen Su, Tzong-Hsi Lee, Te-Sheng Chang, Chun-Jen Liu, Chia-Yen Dai, Jia-Horng Kao, Han-Chieh Lin, Wan-Long Chuang, Cheng-Yuan Peng, Chun-Wei- Tsai, Chi-Yi Chen, Ming-Lung Yu
Format: Article
Language:English
Published: Korean Association for the Study of the Liver 2024-01-01
Series:Clinical and Molecular Hepatology
Subjects:
hepatitis c virus
antiviral agents
artificial intelligence
machine learning
algorithms
Online Access:http://e-cmh.org/upload/pdf/cmh-2023-0287.pdf

Internet

http://e-cmh.org/upload/pdf/cmh-2023-0287.pdf

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