標題: | Artificial intelligence predicts direct-acting antivirals failure among hepatitis C virus patients: A nationwide hepatitis C virus registry program |
作者: | Lu, Ming-Ying Huang, Chung-Feng Hung, Chao-Hung Tai, Chi-Ming Mo, Lein-Ray Kuo, Hsing-Tao Tseng, Kuo-Chih Lo, Ching-Chu Bair, Ming-Jong Wang, Szu-Jen Huang, Jee-Fu Yeh, Ming-Lun Chen, Chun-Ting Tsai, Ming-Chang Huang, Chien-Wei Lee, Pei-Lun Yang, Tzeng-Hue Huang, Yi-Hsiang Chong, Lee-Won Chen, Chien-Lin Yang, Chi-Chieh Yang, Sheng-Shun Cheng, Pin-Nan Hsieh, Tsai-Yuan Hu, Jui-Ting Wu, Wen-Chih Cheng, Chien-Yu Chen, Guei-Ying Zhou, Guo-Xiong Tsai, Wei-Lun Kao, Chien-Neng Lin, Chih-Lang Wang, Chia-Chi Lin, Ta-Ya Lin, Chih-Lin Su, Wei-Wen Lee, Tzong-Hsi Chang, Te-Sheng CHUN-JEN LIU Dai, Chia-Yen JIA-HORNG KAO Lin, Han-Chieh Chuang, Wan-Long Peng, Cheng-Yuan Tsai, Chun-Wei- Chen, Chi-Yi Yu, Ming-Lung |
關鍵字: | Algorithms; Antiviral agents; Artificial intelligence; Hepatitis C virus; Machine learning |
公開日期: | 一月-2024 |
卷: | 30 |
期: | 1 |
來源出版物: | Clinical and molecular hepatology |
摘要: | 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 algorithms have been applied to discriminate subjects who may fail to respond to DAA therapy. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/640064 |
ISSN: | 22872728 |
DOI: | 10.3350/cmh.2023.0287 |
顯示於: | 醫學院附設醫院 (臺大醫院)
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