Using an adaptive network-based fuzzy inference system for prediction of successful aging: a comparison with common machine learning algorithms.

Journal: BMC medical informatics and decision making
Published Date: Oct 19, 2023

Abstract

INTRODUCTION: The global society is currently facing a rise in the elderly population. The concept of successful aging (SA) appeared in the gerontological literature to overcome the challenges and problems of population aging. SA is a subjective and multidimensional concept with many ambiguities regarding its meaning or measuring. This study aimed to propose an intelligent predictive model to predict SA.

Authors

  • Azita Yazdani
    Department of Health Information Technology, School of Management and Information Sciences, Shiraz University of Medical Sciences, Shiraz, Iran.
  • Mostafa Shanbehzadeh
    Department of Health Information Technology, Faculty of Paramedical, Ilam University of Medical Sciences, Ilam, Iran.
  • Hadi Kazemi-Arpanahi
    Department of Health Information Technology, Abadan University of Medical Sciences, Abadan, Iran. H.kazemi@abadanums.ac.ir.

Keywords

External Resources

Popular Topics
Recent Journals