Erratum: Predicting antituberculosis drug-induced liver injury using an interpretable machine learning method: Model development and validation study (JMIR Medical Informatics (2021) 9:7 (e29226) DOI: 10.2196/29226)

Tao Zhong; Zian Zhuang; Ka Hing Wong; Wing Tak Wong; Jian Wang; Shengyuan Liu

doi:10.2196/32415

Erratum: Predicting antituberculosis drug-induced liver injury using an interpretable machine learning method: Model development and validation study (JMIR Medical Informatics (2021) 9:7 (e29226) DOI: 10.2196/29226)

Tao Zhong
, Zian Zhuang
, Ka Hing Wong
, Wing Tak Wong
, Jian Wang
, Shengyuan Liu

Research output: Journal article publication › Comment/debate/erratum

Abstract

In “Predicting Antituberculosis Drug–Induced Liver Injury Using an Interpretable Machine Learning Method: Model Development and Validation Study” (JMIR Med Inform 2021;9(7):e29226) two corrections were made.

Original language	English
Article number	e32415
Journal	JMIR Medical Informatics
Volume	9
Issue number	8
DOIs	https://doi.org/10.2196/32415
Publication status	Published - Aug 2021

ASJC Scopus subject areas

Health Informatics
Health Information Management

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Zhong, T., Zhuang, Z., Wong, K. H., Wong, W. T., Wang, J., & Liu, S. (2021). Erratum: Predicting antituberculosis drug-induced liver injury using an interpretable machine learning method: Model development and validation study (JMIR Medical Informatics (2021) 9:7 (e29226) DOI: 10.2196/29226). JMIR Medical Informatics, 9(8), Article e32415. https://doi.org/10.2196/32415

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abstract = "In “Predicting Antituberculosis Drug–Induced Liver Injury Using an Interpretable Machine Learning Method: Model Development and Validation Study” (JMIR Med Inform 2021;9(7):e29226) two corrections were made.",

author = "Tao Zhong and Zian Zhuang and Wong, \{Ka Hing\} and Wong, \{Wing Tak\} and Jian Wang and Shengyuan Liu",

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Erratum: Predicting antituberculosis drug-induced liver injury using an interpretable machine learning method: Model development and validation study (JMIR Medical Informatics (2021) 9:7 (e29226) DOI: 10.2196/29226). / Zhong, Tao; Zhuang, Zian; Wong, Ka Hing et al.
In: JMIR Medical Informatics, Vol. 9, No. 8, e32415, 08.2021.

Research output: Journal article publication › Comment/debate/erratum

TY - JOUR

T1 - Erratum

T2 - Predicting antituberculosis drug-induced liver injury using an interpretable machine learning method: Model development and validation study (JMIR Medical Informatics (2021) 9:7 (e29226) DOI: 10.2196/29226)

AU - Zhong, Tao

AU - Zhuang, Zian

AU - Wong, Ka Hing

AU - Wong, Wing Tak

AU - Wang, Jian

AU - Liu, Shengyuan

N1 - Publisher Copyright: ©Tao Zhong, Zian Zhuang, Xiaoli Dong, Ka Hing Wong, Wing Tak Wong, Jian Wang, Daihai He, Shengyuan Liu.

PY - 2021/8

Y1 - 2021/8

N2 - In “Predicting Antituberculosis Drug–Induced Liver Injury Using an Interpretable Machine Learning Method: Model Development and Validation Study” (JMIR Med Inform 2021;9(7):e29226) two corrections were made.

AB - In “Predicting Antituberculosis Drug–Induced Liver Injury Using an Interpretable Machine Learning Method: Model Development and Validation Study” (JMIR Med Inform 2021;9(7):e29226) two corrections were made.

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U2 - 10.2196/32415

DO - 10.2196/32415

M3 - Comment/debate/erratum

AN - SCOPUS:85113339848

SN - 2291-9694

VL - 9

JO - JMIR Medical Informatics

JF - JMIR Medical Informatics

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Erratum: Predicting antituberculosis drug-induced liver injury using an interpretable machine learning method: Model development and validation study (JMIR Medical Informatics (2021) 9:7 (e29226) DOI: 10.2196/29226)

Abstract

ASJC Scopus subject areas

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