Published on in Vol 9, No 7 (2021): July
![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](https://asset.jmir.pub/assets/fced70803802c47d8d8537cb1ea75f13.png 480w,https://asset.jmir.pub/assets/fced70803802c47d8d8537cb1ea75f13.png 960w,https://asset.jmir.pub/assets/fced70803802c47d8d8537cb1ea75f13.png 1920w,https://asset.jmir.pub/assets/fced70803802c47d8d8537cb1ea75f13.png 2500w)
1 Department of Tuberculosis Control, Shenzhen Nanshan Center for Chronic Disease Control, Shenzhen, China
2 Department of Applied Mathematics, The Hong Kong Polytechnic University, Hong Kong, China
3 Department of Biostatistics, University of California, Los Angeles, CA, United States
4 Hong Kong Polytechnic University Shenzhen Research Institute, Shenzhen, China
5 Research Institute for Future Food, The Hong Kong Polytechnic University, Hong Kong, China
6 Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Hong Kong, China
*these authors contributed equally