Machine learning approach for dosage individualization of azithromycin in children with community‐acquired pneumonia
British Journal of Clinical Pharmacology2025Vol. 91(8), pp. 2409–2419
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Bo‐Hao Tang, Shu‐Meng Fu, Li‐Yuan Tian, X. Y. Zhang, Bu‐Fan Yao, Wei Zhang, Yue‐E Wu, Yue Zhou, Yakun Wang, Guo‐Xiang Hao, John van den Anker, Yi Zheng, Wei Zhao
Abstract
ML models were established to predict the AUC0-24 of azithromycin successfully and could be used for individual dose adjustment in children before treatment and after obtaining C0.
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