Fuzzy decision support systems to diagnose musculoskeletal disorders: A systematic literature review.

Journal: Computer methods and programs in biomedicine
Published Date: Jun 6, 2018

Abstract

BACKGROUND AND OBJECTIVE: Musculoskeletal disorders (MSDs) are one of the most important causes of disability with a high prevalence. The accurate and timely diagnosis of these disorders is often difficult. Clinical decision support systems (CDSSs) can help physicians to diagnose diseases quickly and accurately. Given the ambiguous nature of MSDs, fuzzy logic can be helpful in designing the CDSSs knowledge bases. The present study aimed to review the studies on fuzzy CDSSs to diagnose MSDs.

Authors

  • Mehrdad Farzandipour
    Health Information Management Research Center, Kashan University of Medical Sciences, Kashan, Iran; Department of Health Information Management & Technology, School of Allied Health Professions, Kashan University of Medical Sciences, Kashan, Iran.
  • Ehsan Nabovati
    Health Information Management Research Center, Kashan University of Medical Sciences, Kashan, Iran; Department of Health Information Management & Technology, School of Allied Health Professions, Kashan University of Medical Sciences, Kashan, Iran. Electronic address: Nabovati@kaums.ac.ir.
  • Soheila Saeedi
    Department of Health Information Management & Technology, School of Allied Health Professions, Kashan University of Medical Sciences, Kashan, Iran; Student research committee, Kashan University of Medical sciences, Kashan, Iran.
  • Esmaeil Fakharian
    Trauma Research Center, Kashan University of Medical Sciences, Kashan, Iran.

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