Identification of patients with epilepsy using automated electronic health records phenotyping - Data and Code

Unstructured data in electronic health records (EHR) provide valuable medical insights but require significant manual effort for abstraction. We developed an automated EHR phenotyping (AEP) model to identify epilepsy patients using clinical notes, antiseizure medications (ASMs), and International Classification of Diseases (ICD) codes. The model, trained on structured annotations and manual chart review, achieved high accuracy in distinguishing epilepsy from non-epilepsy cases. This approach facilitates large-scale epilepsy research by enabling efficient EHR-based patient identification.