The predictive role of identifying frailty in assessing the need for palliative care in the elderly: the application of machine learning algorithm.

Journal: Journal of health, population, and nutrition
PMID: 40270071

Abstract

BACKGROUND: Palliative care is a key component of integrated care to improve care quality and reduce hospitalization costs for patients with chronic obstructive pulmonary disease (COPD). This study aims to use machine learning algorithms to create an effective approach to the early recognition and identification of frailty as a long-term condition in COPD patients.

Authors

  • Zahra Nejatifar
    Student Research Committee, School of Health, Qazvin University of Medical Sciences, Qazvin, Iran.
  • Ahad Alizadeh
    Medical Microbiology Research Center, Qazvin University of Medical Sciences, Qazvin, Iran.
  • Mohammad Amerzadeh
    Non-Communicable Diseases Research Center, Research Institute for Prevention of Non-Communicable Diseases, Qazvin University of Medical Sciences, Qazvin, Iran.
  • Shideh Omidian
    School of Medicine, Qazvin University of Medical Sciences, Qazvin, Iran.
  • Sima Rafiei
    Social Determinants of Health Research Center, Research Institute for Prevention of Non-Communicable Diseases, Qazvin University of Medical Sciences, Qazvin, Iran. sima.rafie@gmail.com.

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