Machine learning models for predicting treatment response in infantile epilepsies.
Journal:
Epilepsy & behavior : E&B
PMID:
39393146
Abstract
UNLABELLED: Epilepsy stands as one of the prevalent and significant neurological disorders, representing a critical healthcare challenge. Recently, machine learning techniques have emerged as versatile tools across various healthcare domains, encompassing diagnostics, treatment assessment, and prognosis. We compared 11 machine learning model to find the best ML model to predict drug treatment outcomes for our cohort, which we previously evaluated using classical statistical methods.