Monitoring of the trough concentration of valproic acid in pediatric epilepsy patients: a machine learning-based ensemble model.

Journal: Frontiers in pharmacology
Published Date: Dec 18, 2024

Abstract

AIMS: Few personalized monitoring models for valproic acid (VPA) in pediatric epilepsy patients (PEPs) incorporate machine learning (ML) algorithms. This study aimed to develop an ensemble ML model for VPA monitoring to enhance clinical precision of VPA usage.

Authors

  • Yue-Wen Chen
    Department of Pharmacy, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China.
  • Xi-Kai Lin
    School of Mechanical Engineering and Automation, Fuzhou University, FuZhou, China.
  • Si Chen
    Department of Pharmacy, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China.
  • Ya-Lan Zhang
    Department of Pharmacy, The Second Affiliated Hospital, Fujian Medical University, Quanzhou, China.
  • Wei Wu
    Department of Pharmacy, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China.
  • Chen Huang
    Department of Pharmacy, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China.
  • Xin Rao
    Department of Pharmacy, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China.
  • Zong-Xing Lu
    School of Mechanical Engineering and Automation, Fuzhou University, FuZhou, China.
  • Zhou-Jie Liu
    Department of Pharmacy, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China.

Keywords

No keywords available for this article.

External Resources

Popular Topics
Recent Journals