Diseases diagnosis using fuzzy logic methods: A systematic and meta-analysis review.

Journal: Computer methods and programs in biomedicine
Published Date:

Abstract

BACKGROUND AND OBJECTIVE: Diagnosis as the initial step of medical practice, is one of the most important parts of complicated clinical decision making which is usually accompanied with the degree of ambiguity and uncertainty. Since uncertainty is the inseparable nature of medicine, fuzzy logic methods have been used as one of the best methods to decrease this ambiguity. Recently, several kinds of literature have been published related to fuzzy logic methods in a wide range of medical aspects in terms of diagnosis. However, in this context there are a few review articles that have been published which belong to almost ten years ago. Hence, we conducted a systematic review to determine the contribution of utilizing fuzzy logic methods in disease diagnosis in different medical practices.

Authors

  • Hossein Ahmadi
    Department of Health Information Management, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran ; Health Information Management Department, School of Allied Medical Sciences, Tehran University of Medical Sciences-International Campus (TUMS-IC), No #17, 5th Floor, Farredanesh Alley, Ghods St, Enghelab Ave, Tehran, Iran.
  • Marsa Gholamzadeh
    Health Information Management Department, School of Allied Medical Sciences, Tehran University of Medical Sciences, No #17, 5th Floor, Farredanesh Alley, Ghods St, Enghelab Ave, Tehran, Iran. Electronic address: m-gholamzadeh@razi.tums.ac.ir.
  • Leila Shahmoradi
    Department of Health Information Management, Faculty of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran.
  • Mehrbakhsh Nilashi
    Universiti Teknologi Malaysia, Malaysia.
  • Pooria Rashvand
    Department of Civil Engineering, Qazvin Branch, Islamic Azad University, Qzavin, Iran.