Prediction of antiepileptic drug treatment outcomes of patients with newly diagnosed epilepsy by machine learning.

Journal: Epilepsy & behavior : E&B
Published Date: Jul 1, 2019

Abstract

OBJECTIVE: The objective of this study was to build a supervised machine learning-based classifier, which can accurately predict the outcomes of antiepileptic drug (AED) treatment of patients with newly diagnosed epilepsy.

Authors

  • Lijun Yao
    Shanghai Pudong New Area Mental Health Center, Tongji University School of Medicine, Shanghai 200124, PR China. Electronic address: lyao@tongji.edu.cn.
  • Mengting Cai
    Department of Neurology, Epilepsy Center, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, Zhejiang, PR China.
  • Yang Chen
    Orthopedics Department of the First Affiliated Hospital of Tsinghua University, Beijing, China.
  • Chunhong Shen
    Department of Neurology, Epilepsy Center, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, Zhejiang, PR China.
  • Lei Shi
  • Yi Guo
    Department of Respiratory and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.

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