Machine learning model to predict the efficacy of antiseizure medications in patients with familial genetic generalized epilepsy

•Among the 13 models, the random forest classifier model was the most effective.•This study established a machine learning model that identified predictive factors of ASM treatment in familial GGE patients.•Number of seizure types experienced, first drug response, prior treatment duration and number of pre-treatment seizures were effective indicators.