Risk Prediction of Liver Injury in Pediatric Tuberculosis Treatment: Development of an Automated Machine Learning Model

Risk Prediction of Liver Injury in Pediatric Tuberculosis Treatment: Development of an Automated Machine Learning Model

Ying Zeng,1,* Hong Lu,1,* Sen Li,2,* Qun-Zhi Shi,1 Lin Liu,1 Yong-Qing Gong,1 Pan Yan1 1Department of Pharmacy, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, 410004, People’s Republic of China; 2Department of Pharmacy,...

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Bibliographic Details
Main Authors: Zeng Y, Lu H, Li S, Shi QZ, Liu L, Gong YQ, Yan P
Format: Article
Language:English
Published: Dove Medical Press 2025-01-01
Series:Drug Design, Development and Therapy
Subjects:
anti-tuberculosis drug-induced liver injury
children
retrospective study
automatic machine learning
gradient boost machine
Online Access:https://www.dovepress.com/risk-prediction-of-liver-injury-in-pediatric-tuberculosis-treatment-de-peer-reviewed-fulltext-article-DDDT
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