Lu, Ming-YingMing-YingLuHuang, Chung-FengChung-FengHuangHung, Chao-HungChao-HungHungTai, Chi-MingChi-MingTaiMo, Lein-RayLein-RayMoKuo, Hsing-TaoHsing-TaoKuoTseng, Kuo-ChihKuo-ChihTsengLo, Ching-ChuChing-ChuLoBair, Ming-JongMing-JongBairWang, Szu-JenSzu-JenWangHuang, Jee-FuJee-FuHuangYeh, Ming-LunMing-LunYehChen, Chun-TingChun-TingChenTsai, Ming-ChangMing-ChangTsaiHuang, Chien-WeiChien-WeiHuangLee, Pei-LunPei-LunLeeYang, Tzeng-HueTzeng-HueYangHuang, Yi-HsiangYi-HsiangHuangChong, Lee-WonLee-WonChongChen, Chien-LinChien-LinChenYang, Chi-ChiehChi-ChiehYangYang, Sheng-ShunSheng-ShunYangCheng, Pin-NanPin-NanChengHsieh, Tsai-YuanTsai-YuanHsiehHu, Jui-TingJui-TingHuWu, Wen-ChihWen-ChihWuCheng, Chien-YuChien-YuChengChen, Guei-YingGuei-YingChenZhou, Guo-XiongGuo-XiongZhouTsai, Wei-LunWei-LunTsaiKao, Chien-NengChien-NengKaoLin, Chih-LangChih-LangLinWang, Chia-ChiChia-ChiWangLin, Ta-YaTa-YaLinLin, Chih-LinChih-LinLinSu, Wei-WenWei-WenSuLee, Tzong-HsiTzong-HsiLeeChang, Te-ShengTe-ShengChangCHUN-JEN LIUDai, Chia-YenChia-YenDaiJIA-HORNG KAOLin, Han-ChiehHan-ChiehLinChuang, Wan-LongWan-LongChuangPeng, Cheng-YuanCheng-YuanPengTsai, Chun-Wei-Chun-Wei-TsaiChen, Chi-YiChi-YiChenYu, Ming-LungMing-LungYu2024-03-012024-03-012024-0122872728https://scholars.lib.ntu.edu.tw/handle/123456789/640064Despite 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.enAlgorithms; Antiviral agents; Artificial intelligence; Hepatitis C virus; Machine learningjournal article10.3350/cmh.2023.0287381951132-s2.0-85181658695https://api.elsevier.com/content/abstract/scopus_id/85181658695