A fuzzy rule-based expert system for diagnosing cystic fibrosis.

Journal: Electronic physician
Published Date: Dec 25, 2017

Abstract

BACKGROUND: Finding a valid diagnosis is mostly a prolonged process. Current advances in the sector of artificial intelligence have led to the appearance of expert systems that enrich the experiences and capabilities of doctors for making decisions for their patients.

Authors

  • Maryam Hassanzad
    M.D., Associate Professor, Pediatric Respiratory Disease Research Center, National Research Institute of Tuberculosis and Lung Diseases (NRITLD), Masih Daneshvari Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • Azam Orooji
    Ph.D. Candidate of Medical Informatics, Department of Health Information Management and Technology, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran.
  • Ali Valinejadi
    Ph.D. of Health Information Management, Assistant Professor, Social Determinants of Health Research Center, Department of Health Information Technology, Semnan University of Medical Sciences, Semnan, Iran.
  • Aliakbar Velayati
    M.D., Distinguished Professor, Mycobacteriology Research Center, National Research Institute of Tuberculosis and Lung Diseases (NRITLD), Masih Daneshvari Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

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