Personalized prediction model for seizure-free epilepsy with levetiracetam therapy: a retrospective data analysis using support vector machine.

Journal: British journal of clinical pharmacology
Published Date: Nov 1, 2018

Abstract

AIMS: To predict the probability of a seizure-free (SF) state in patients with epilepsy (PWEs) after treatment with levetiracetam and to identify the clinical and electroencephalographic (EEG) factors that affect outcomes.

Authors

  • Jia-Hui Zhang
    Department of Neurology, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Henan Province, China.
  • Xiong Han
    Department of Neurology, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Henan Province, China.
  • Hong-Wei Zhao
    Department of Pharmacy, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Henan Province, China.
  • Di Zhao
  • Na Wang
    College of Architecture and Civil Engineering, Xi'an University of Science and Technology Xi'an 710054 Shaanxi China wangna811221@xust.edu.cn +86-29-82202335 +86-29-82203378.
  • Ting Zhao
    Department of Neurology, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Henan Province, China.
  • Gui-Nv He
    Department of Neurology, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Henan Province, China.
  • Xue-Rui Zhu
    Department of Neurology, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Henan Province, China.
  • Ying Zhang
    Department of Nephrology, Nanchong Central Hospital Affiliated to North Sichuan Medical College, Nanchong, China.
  • Jiu-Yan Han
    Department of Clinical Medicine, Zhengzhou University, Henan Province, China.
  • Dian-Ling Huang
    Department of Computer Network Information Center, Chinese Academy of Sciences, Beijing, China.

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