Predicting oxcarbazepine-induced hyponatremia in adult epilepsy patients: A multicenter machine learning analysis using real-world CDM data
XGBoost demonstrated robust predictive performance for OXC-induced severe hyponatremia using multicenter CDM data. SHAP-based interpretation revealed clinically relevant risk factors, supporting the implementation of personalized monitoring strategies in epilepsy care.
Authors
- Sung‐Min Gho (ORCID: https://orcid.org/0000-0003-1055-398X)
- Byung‐Kwan Choi
- JaeHyeok Lee
- Jae Wook Cho (ORCID: https://orcid.org/0000-0002-2742-9136)
- Gucheol Jung
- Jiyoung Kim (ORCID: https://orcid.org/0000-0001-7592-2921)
- Yeun-Kwei Han
- Gha-Hyun Lee
Institutions
- Seoul Medical Center (KR)
- Pusan National University Hospital (KR)
- Pusan National University Yangsan Hospital (KR)
- Pusan National University (KR)
Publication Details
- Journal
- Seizure
- Published
- 2025-10-16
- DOI
- https://doi.org/10.1016/j.seizure.2025.10.004
- Primary Topic
- Epilepsy research and treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00