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.