Predicting the blood concentration of levetiracetam in people with epilepsy using machine learning and real-world data
Our study found that XGBoost is a valuable artificial intelligence instrument for predicting levetiracetam concentration. Daily dose and age were two significant covariates influencing serum concentration. This work is the first study to analyze the levetiracetam concentration data from the real world and predict the blood concentration using machine learning techniques, which provides guidance for the drug adjustment in clinical practice.
Authors
- Nan Zheng (ORCID: https://orcid.org/0000-0003-3565-3100)
- Bolin Zhu
- Di Chen
- Yuanchao Zhu
Institutions
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
Publication Details
- Journal
- Therapeutic Advances in Psychopharmacology
- Published
- 2026-02-26
- DOI
- https://doi.org/10.1177/20451253261426849
- Primary Topic
- Epilepsy research and treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00