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

BACKGROUND: Tuberculosis (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. OBJECTIVE: We aim to predict the status of liver...

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Detalles Bibliográficos
Autores principales: Zhong, Tao, Zhuang, Zian, Dong, Xiaoli, Wong, Ka Hing, Wong, Wing Tak, Wang, Jian, He, Daihai, Liu, Shengyuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8335604/
https://www.ncbi.nlm.nih.gov/pubmed/34283036
http://dx.doi.org/10.2196/29226

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8335604/
https://www.ncbi.nlm.nih.gov/pubmed/34283036
http://dx.doi.org/10.2196/29226

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