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Accepted for/Published in: JMIR Medical Informatics

Date Submitted: Jul 27, 2021
Open Peer Review Period: Jul 27, 2021 - Aug 6, 2021
Date Accepted: Aug 6, 2021
Date Submitted to PubMed: Aug 16, 2021
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

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

He D

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

JMIR Med Inform 2021;9(8):e32415

DOI: 10.2196/32415

PMID: 34398802

PMCID: 8398749

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

  • Daihai He

ABSTRACT

Description: The corresponding author should be Shenyuan Liu. The 2 and 7 authors’ affiliation missing China. The 3-5 authors’ affiliation should be Department of Applied Biology and Chemical Technology, Hong Kong Polytechnic University, Hong Kong, China.


 Citation

Please cite as:

He D

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

JMIR Med Inform 2021;9(8):e32415

DOI: 10.2196/32415

PMID: 34398802

PMCID: 8398749

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