COVID-19 risk stratification among older adults: a machine learning approach to identify personal and health-related risk factors.

Journal: BMC public health
Published Date: Jul 29, 2025

Abstract

BACKGROUND: The COVID-19 pandemic highlighted the need to understand factors influencing individuals' risk perceptions and health behaviors. This study aimed to explore the roles of individuals' knowledge, perception, and health-related issues in determining COVID-19 risk by developing a predictive model for classifying individuals into the risk categories, incorporating both clustering and model interpretation techniques.

Authors

  • Arezoo Abasi
    Department of Medical Informatics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran. arezoo_abasi@modares.ac.ir.
  • Seyed Abbas Motevalian
    Preventive Medicine and Public Health Research Center, Psychosocial Health Research Institute (PHRI), Iran University of Medical Sciences, Tehran, Iran. amotevalian@yahoo.com.
  • Haleh Ayatollahi
    Health Management and Economics Research Center, Iran University of Medical Sciences, Tehran, Iran.

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