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

Tao Zhong; Zian Zhuang; Xiaoli Dong; Ka Hing Wong; Wing Tak Wong; Jian Wang; Daihai He; Shengyuan Liu

doi:10.2196/32415

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

JMIR Med Inform. 2021 Aug 13;9(8):e32415. doi: 10.2196/32415.

Authors

Tao Zhong^#¹, Zian Zhuang^#^{2

3

4}, Xiaoli Dong^{5

6}, Ka Hing Wong^{5

6}, Wing Tak Wong^{5

6}, Jian Wang¹, Daihai He^{2

4}, Shengyuan Liu¹

Affiliations

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.

^# Contributed equally.

PMID: 34398802
PMCID: PMC8398749
DOI: 10.2196/32415

Abstract

[This corrects the article DOI: 10.2196/29226.].

©Tao Zhong, Zian Zhuang, Xiaoli Dong, Ka Hing Wong, Wing Tak Wong, Jian Wang, Daihai He, Shengyuan Liu. Originally published in JMIR Medical Informatics (https://medinform.jmir.org), 13.08.2021.

Publication types

Published Erratum