Ran Fu, Ze Yu, Chunhua Zhou, Jinyuan Zhang, Fei Gao, Donghan Wang, Xin Hao, Xiaolu Pang, Jing Yu
BACKGROUND: Variability exists in sertraline pharmacokinetic parameters in individuals, especially obvious in adolescents. We aimed to establish an individualized dosing model of sertraline for adolescents with depression based on artificial intelligence (AI) techniques. METHODS: Data was collected from 258 adolescent patients treated at the First Hospital of Hebei Medical University between December 2019 to July 2022. Nine different algorithms were used for modeling to compare the prediction abilities on sertraline daily dose, including XGBoost, LGBM, CatBoost, GBDT, SVM, ANN, TabNet, KNN, and DT...
January 10, 2024: Expert Review of Clinical Pharmacology