Predicting antituberculosis drug-induced liver injury using an interpretable machine learning method : model development and validation study

Zhong, T
Zhuang, Z
Dong, X
Wong, KH
Wong, WT
Wang, J
He, D
Liu, S

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Publication date

July 2021

DOI

10.2196/29226

Publisher

JMIR Publications Inc.

Journal

JMIR Medical Informatics

Abstract

202202 bcvcVersion of RecordOthersFunding was obtained from Shenzhen Science and Technology Innovation Commission: Research on Early Warning Model of Drug-induced Liver Injury in Tuberculosis Patients Based on Machine Learning (award# JCYJ20190809153201668) and the Sanming Project of Medicine in Shenzhen (award# SZSM201603029).Publishe

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Predicting antituberculosis drug-induced liver injury using an interpretable machine learning method : model development and validation study

Abstract

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Predicting antituberculosis drug-induced liver injury using an interpretable machine learning method : model development and validation study

Abstract

Extracted data

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