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Optimizing vancomycin dosing in pediatrics: a machine learning approach to predict trough concentrations in children under four years of age.

Minghui YinYuelian JiangYawen YuanChensuizi LiQian GaoHui LuZhi-Ling Li
Published in: International journal of clinical pharmacy (2024)
An XGBoost ML model was developed to predict vancomycin trough concentrations and aid in drug treatment predictions as a decision-support technology.
Keyphrases
  • machine learning
  • methicillin resistant staphylococcus aureus
  • young adults
  • artificial intelligence
  • emergency department
  • big data
  • adverse drug
  • replacement therapy