Biotechnical system based on fuzzy logic prediction for surgical risk classification using analysis of current-voltage characteristics of acupuncture points.

Journal: Journal of integrative medicine
Published Date:

Abstract

OBJECTIVE: This study aimed to develop expert fuzzy logic model to assist physicians in the prediction of postoperative complications of prostatic hyperplasia before surgery.

Authors

  • Sergey Filist
    Department of Biomedical Engineering, Southwest State University, Kursk, Russian Federation.
  • Riad Taha Al-Kasasbeh
    Department of Mechatronics Engineering, School of Engineering, University of Jordan, Amman, Jordan.
  • Olga Shatalova
    Department of Biomedical Engineering, Southwest State University, Kursk, Russian Federation.
  • Nikolay Korenevskiy
    Department of Biomedical Engineering, Southwest State University, Kursk, Russian Federation.
  • Ashraf Shaqadan
    Civil Engineering Department, Zarqa University.
  • Zeinab Protasova
    Department of Biomedical Engineering, Southwest State University, Kursk, Russian Federation.
  • Maksim Ilyash
    Mechanics and Optics, Saint-Petersburg National Research University of Information Technologies, Russian Federation.
  • Mikhail Lukashov
    Pediatric Faculty, Kursk State Medical University, Kursk 305041, Russian Federation.