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Correction: Predicting Antituberculosis Drug-Induced Liver Injury Using an Interpretable Machine Learning Method: Model Development and Validation Study.
Zhong, Tao; Zhuang, Zian; Dong, Xiaoli; Wong, Ka Hing; Wong, Wing Tak; Wang, Jian; He, Daihai; Liu, Shengyuan.
Affiliation
  • Zhong T; Department of Tuberculosis Control, Shenzhen Nanshan Center for Chronic Disease Control, Shenzhen, China.
  • Zhuang Z; Department of Applied Mathematics, The Hong Kong Polytechnic University, Hong Kong, China.
  • Dong X; Department of Biostatistics, University of California, Los Angeles, CA, United States.
  • Wong KH; Hong Kong Polytechnic University Shenzhen Research Institute, Shenzhen, China.
  • Wong WT; Research Institute for Future Food, The Hong Kong Polytechnic University, Hong Kong, China.
  • Wang J; Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Hong Kong, China.
  • He D; Research Institute for Future Food, The Hong Kong Polytechnic University, Hong Kong, China.
  • Liu S; Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Hong Kong, China.
JMIR Med Inform ; 9(8): e32415, 2021 Aug 13.
Article in En | MEDLINE | ID: mdl-34398802
ABSTRACT
[This corrects the article DOI 10.2196/29226.].
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: JMIR Med Inform Year: 2021 Type: Article Affiliation country: China
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: JMIR Med Inform Year: 2021 Type: Article Affiliation country: China