Distinguishing Focal Cortical Dysplasia From Glioneuronal Tumors in Patients with Epilepsy by Machine Learning

This dataset covers 96 patients. Ten features, i.e., Medication, Past History, Family history, Seizure frequency, Seizure type, FCD typical electrical discharge, Gender, Age at seizure onset, Course of disease, Typical image characteristics, Consistence of MRI and pathology, Surgical site are introduced to describe a patient. Our goal is to build a supervised machine learning-based classifier, in order to preoperatively distinguish focal cortical dysplasia (FCD) from glioneuronal tumors (GNTs) in patients with epilepsy.