Machine learning-based algorithm of drug-resistant prediction in newly diagnosed patients with temporal lobe epilepsy.

Journal: Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology
PMID: 39914157

Abstract

OBJECTIVES: To develop a predicted algorithm for drug-resistant epilepsy (DRE) in newly diagnosed temporal lobe epilepsy (TLE) patients.

Authors

  • Lingyan Mao
    Ningbo Institute for Food Control, Ningbo 315048, China.
  • Gaoxing Zheng
    Department of Neurology, Zhongshan Hospital, Fudan University, Shanghai, China.
  • Yang Cai
  • Wenyi Luo
    Department of Neurology, Zhongshan Hospital, Fudan University, Shanghai, China.
  • Yijun Zhang
    School of Automation, Nanjing University of Science and Technology, Nanjing, 210094, PR China. Electronic address: zhangyijun@njust.edu.cn.
  • Kuidong Wu
    Department of Neurology, Zhongshan Hospital, Fudan University, Shanghai, China.
  • Jing Ding
    Zhejiang Pharmaceutical College, Ningbo, 15100.
  • Xin Wang
    Key Laboratory of Bio-based Material Science & Technology (Northeast Forestry University), Ministry of Education, Harbin 150040, China.

Keywords

External Resources

Popular Topics
Recent Journals