Use of Machine Learning for Dosage Individualization of Vancomycin in Neonates.

Bo-Hao TangJin-Yuan ZhangKarel AllegaertGuo-Xiang HaoBu-Fan YaoStephanie LerouxAlison H ThomsonZe YuFei GaoYi ZhengYue ZhouEdmund V CapparelliValerie BiranNicolas SimonBernd MeibohmYoke-Lin LoRemedios MarquesJose-Esteban PerisIrja LutsarJumpei SaitoEvelyne Jacqz-AigrainJohn van den AnkerYue-E WuWei Zhao

Published in: Clinical pharmacokinetics (2023)

-based ML models were developed accurately and precisely. These can be used for individual dose recommendations of vancomycin in neonates before treatment and dose revision after the first TDM result is obtained, respectively.

Keyphrases

machine learning
methicillin resistant staphylococcus aureus
low birth weight
total knee arthroplasty
preterm infants
total hip arthroplasty
big data
clinical practice
combination therapy