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...

Celý popis

Podrobná bibliografie

Hlavní autoři:	Tao Zhong, Zian Zhuang, Xiaoli Dong, Ka Hing Wong, Wing Tak Wong, Jian Wang, Daihai He, Shengyuan Liu
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	JMIR Publications 2021-07-01
Edice:	JMIR Medical Informatics
On-line přístup:	https://medinform.jmir.org/2021/7/e29226
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!