Joint use of population pharmacokinetics and machine learning for prediction of valproic acid plasma concentration in elderly epileptic patients

Our model was specifically tailored for elderly epileptic patients, providing an efficient and cost-effective approach to predict VPA plasma concentration. The model combined classical PPK with machine learning, and underwent optimization through feature selection and algorithm integration. Our model can serve as a fundamental tool for clinicians in determining VPA plasma concentration and individualized dosing regimens accordingly.

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Institutions

Publication Details

Journal
European Journal of Pharmaceutical Sciences
Published
2024-08-10
DOI
https://doi.org/10.1016/j.ejps.2024.106876
Citations
7
Primary Topic
Pharmacological Effects and Toxicity Studies
Type
article
Field-Weighted Citation Impact
7.76

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article

Joint use of population pharmacokinetics and machine learning for prediction of valproic acid plasma concentration in elderly epileptic patients

Hongfan Yu, Xiao Qin, Yuxian Nie, Qiuling Shi et al.
7 citations
European Journal of Pharmaceutical Sciences
Pharmacological Effects and Toxicity Studies
7.76
article

Joint use of population pharmacokinetics and machine learning for prediction of valproic acid plasma concentration in elderly epileptic patients

Hongfan Yu, Xiao Qin, Yuxian Nie, Qiuling Shi, Airong Yu, Shenglan Shang, Mengchen Yu, Ruixiang Liu, Zhou Fan, Pan Ma, Yifan Huang, Qianxue Ding, Ying Zhang, Yongchuan Chen, Zhibiao Wang
article en
7 citations

Abstract

Our model was specifically tailored for elderly epileptic patients, providing an efficient and cost-effective approach to predict VPA plasma concentration. The model combined classical PPK with machine learning, and underwent optimization through feature selection and algorithm integration. Our model can serve as a fundamental tool for clinicians in determining VPA plasma concentration and individualized dosing regimens accordingly.

European Journal of Pharmaceutical SciencesVol. 201
Army Medical University (CN), Chongqing University (CN), The Affiliated Yongchuan Hospital of Chongqing Medical University (CN), Central Hospital of Wuhan (CN), Chongqing Public Health Medical Center (CN), General Hospital of Central Theater Command, Chongqing Medical University (CN), China Medical University (CN)
Tianjin Postdoctoral Science Foundation, Chongqing Medical University, Central Subordinate University Basic Scientific Research Foundation
Openalex Percentile: Top 3%
Pharmacological Effects and Toxicity Studies
7.76
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