Correction: Prediction of personalized antiseizure medications response based on clinical signatures in epilepsy
Valproate showed the highest area under curve (AUC), 0.636.now reads: "Valproate showed the highest area under curve (AUC), 0.686."Additionally, "The AUCs of common dual regimens were 0.543 for levetiracetam + oxcarbazepine, 0.454 for levetiracetam + valproate, and 0.583 for levetiracetam + lamotrigine.Levetiracetam + carbamazepine showed the highest AUC, 0.686." now reads: "The AUCs of common dual regimens were 0.543 for levetiracetam + oxcarbazepine, 0.454 for levetiracetam + valproate, and 0.583 for levetiracetam + lamotrigine.Levetiracetam + carbamazepine showed the highest AUC, 0.764."
Authors
- Seung-Bo Lee (ORCID: https://orcid.org/0000-0002-6817-5793)
- Youmin Shin
- Soon‐Tae Lee
- Yong-Jeong Kim
- Hyoshin Son
- Kon Chu
- Sang Yong Tom Lee
- Kyung-Il Park
- Ki-Young Jung
- Keun-Hwa Jung
- Young-Gon Kim
- Sungeun Hwang
- Jangsup Moon
Institutions
- Ewha Womans University (KR)
- Seoul National University (KR)
- New Generation University College (ET)
- Seoul National University Hospital (KR)
- St. Mary's Hospital (US)
- St. Mary's Hospital (US)
- Keimyung University (KR)
Publication Details
- Journal
- Scientific Reports
- Published
- 2026-02-02
- DOI
- https://doi.org/10.1038/s41598-026-37481-3
- Primary Topic
- Machine Learning in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.00