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.
Authors
- Ahad Alizadeh (ORCID: https://orcid.org/0000-0002-0385-463X)
- Zahra Nejatifar (ORCID: https://orcid.org/0000-0001-9013-8342)
- Mohammad Amerzadeh
- Sima Rafiei (ORCID: https://orcid.org/0000-0002-7502-7078)
- Shideh Omidian
Institutions
- Qazvin University of Medical Sciences (IR)
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