This paper is in the following e-collection/theme issue:

Machine Learning (1400) Decision Support for Health Professionals (1145) Artificial Intelligence (1214) Clinical Informatics (918) Clinical Information and Decision Making (1339)

Published on in Vol 9, No 7 (2021): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/29226, first published .
Predicting Antituberculosis Drug–Induced Liver Injury Using an Interpretable Machine Learning Method: Model Development and Validation Study

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

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

Authors of this article:

Tao Zhong1 Author Orcid Image ;   Zian Zhuang2, 3, 4 Author Orcid Image ;   Xiaoli Dong5, 6 Author Orcid Image ;   Ka Hing Wong5, 6 Author Orcid Image ;   Wing Tak Wong5, 6 Author Orcid Image ;   Jian Wang1 Author Orcid Image ;   Daihai He2, 4 Author Orcid Image ;   Shengyuan Liu1 Author Orcid Image
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