Predicting Antituberculosis Drug–Induced Liver Injury Using an Interpretable Machine Learning Method: Model Development and Validation Study

BackgroundTuberculosis (TB) is a pandemic, being one of the top 10 causes of death and the main cause of death from a single source of infection. Drug-induced liver injury (DILI) is the most common and serious side effect during the treatment of TB. ObjectiveWe ai...

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Principais autores:	Tao Zhong, Zian Zhuang, Xiaoli Dong, Ka Hing Wong, Wing Tak Wong, Jian Wang, Daihai He, Shengyuan Liu
Formato:	Artigo
Idioma:	Inglês
Publicado em:	JMIR Publications 2021-07-01
coleção:	JMIR Medical Informatics
Acesso em linha:	https://medinform.jmir.org/2021/7/e29226
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