Machine Learning Approach in Dosage Individualization of Isoniazid for Tuberculosis.

Bo-Hao TangXin-Fang ZhangShu-Meng FuBu-Fan YaoWei ZhangYue-E WuYi ZhengYue ZhouJohn van den AnkerHai-Rong HuangGuo-Xiang HaoWei Zhao

Published in: Clinical pharmacokinetics (2024)

Machine learning models were developed with great predictive performance, which can be used to determine the individualized initial dose of isoniazid in adult patients.

Keyphrases

machine learning
mycobacterium tuberculosis
artificial intelligence
pulmonary tuberculosis
big data
deep learning
emergency department
hiv infected
human immunodeficiency virus
antiretroviral therapy