Monitoring of the trough concentration of valproic acid in pediatric epilepsy patients: a machine learning-based ensemble model
The proposed ensemble model effectively monitors VPA trough concentrations in PEPs. By integrating covariates across various ML algorithms, it delivers results closely aligned with clinical practice, offering substantial clinical value for the guided use of VPA.
Authors
- Zongxing Lu (ORCID: https://orcid.org/0000-0002-0965-1120)
- Zhou-Jie Liu
- Chen Huang (ORCID: https://orcid.org/0000-0003-3425-1572)
- Si Chen (ORCID: https://orcid.org/0000-0002-0305-8641)
- Yalan Zhang
- Wei Wu (ORCID: https://orcid.org/0000-0001-8810-9534)
- Yuewen Chen (ORCID: https://orcid.org/0000-0001-5388-6616)
- Xin Rao (ORCID: https://orcid.org/0000-0002-6243-8441)
- Xuanmeng Lin
Institutions
- Fujian Medical University (CN)
- First Affiliated Hospital of Fujian Medical University (CN)
- Second Affiliated Hospital of Fujian Medical University (CN)
- Fuzhou University (CN)
Publication Details
- Journal
- Frontiers in Pharmacology
- Published
- 2024-12-18
- DOI
- https://doi.org/10.3389/fphar.2024.1521932
- Citations
- 2
- Primary Topic
- Pharmacological Effects and Toxicity Studies
- Type
- article
- Field-Weighted Citation Impact
- 2.22
Funders
- Fujian Medical University