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

The study highlights the need for more collaboration between clinicians and data scientists to use the potential of data collected from COPD patients in clinical settings with the purpose of early identification of frailty as a long-term condition. Predicting palliative care needs accurately is critical in these contexts, as it can lead to better resource allocation, improved healthcare delivery, and enhanced patient outcomes.

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Publication Details

Journal
Journal of Health Population and Nutrition
Published
2025-04-23
DOI
https://doi.org/10.1186/s41043-025-00841-2
Citations
3
Primary Topic
Chronic Obstructive Pulmonary Disease (COPD) Research
Type
article
Field-Weighted Citation Impact
4.56
Controls
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article

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

Ahad Alizadeh, Zahra Nejatifar, Mohammad Amerzadeh, Sima Rafiei et al.
3 citations
Journal of Health Population and Nutrition
Chronic Obstructive Pulmonary Disease (COPD) Research
4.56
article

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

Ahad Alizadeh, Zahra Nejatifar, Mohammad Amerzadeh, Sima Rafiei, Shideh Omidian
article en
3 citations

Abstract

The study highlights the need for more collaboration between clinicians and data scientists to use the potential of data collected from COPD patients in clinical settings with the purpose of early identification of frailty as a long-term condition. Predicting palliative care needs accurately is critical in these contexts, as it can lead to better resource allocation, improved healthcare delivery, and enhanced patient outcomes.

Journal of Health Population and NutritionVol. 44(1)
Qazvin University of Medical Sciences (IR)
Openalex Percentile: Top 6%
Chronic Obstructive Pulmonary Disease (COPD) Research
4.56
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The predictive role of identifying frailty in assessing the need for palliative care in the elderly: the application of machine learning algorithm — Ahad Alizadeh, Zahra Nejatifar, et al. · Journal of Health Population and Nutrition (2025) | TGRS Research Map | TGRS