A propositional AI system for supporting epilepsy diagnosis based on the 2017 epilepsy classification: Illustrated by Dravet syndrome.

Journal: Epilepsy & behavior : E&B
Published Date: May 1, 2020

Abstract

PURPOSE: The 2017 epilepsy and seizure diagnosis framework emphasizes epilepsy syndromes and the etiology-based approach. We developed a propositional artificial intelligence (AI) system based on the above concepts to support physicians in the diagnosis of epilepsy.

Authors

  • Kuo-Liang Chiang
    Department of Pediatric Neurology, Kuang-Tien General Hospital, No. 117, Shatian Road, Shalu District, Taichung 43303, Taiwan; Department of Nutrition, Hungkuang University, No. 1018, Section 6, Taiwan Boulevard, Shalu District, Taichung 43302, Taiwan; Department of Industrial Engineering and Enterprise Information, Tunghai University, P.O. Box 985, Taichung 40704, Taiwan. Electronic address: lambier.tw@yahoo.com.tw.
  • Chin-Yin Huang
    Department of Industrial Engineering and Enterprise Information, Tunghai University, P.O. Box 985, Taichung 40704, Taiwan; Program for Health Administration, Tunghai University, P.O. Box 985, Taichung 40704, Taiwan. Electronic address: huangcy@thu.edu.tw.
  • Liang-Po Hsieh
    Department of Neurology, Cheng-Ching Hospital, No. 966, Section 4, Taiwan Boulevard, Xitun District, Taichung 40764, Taiwan.
  • Kai-Ping Chang
    Department of Pediatric Neurology, Taipei Veterans General Hospital, No.201, Section 2, Shipai Rd., Beitou District, Taipei 11217, Taiwan.

Keywords

External Resources

Popular Topics
Recent Journals