A machine learning approach to predict foot care self-management in older adults with diabetes
The study identified age, gender, perceived health status, treatment regimen, income level and A1c as predictors of foot care self-management in older adults with diabetes. Attention should be given to improving foot care self-management among this vulnerable group.
Authors
- Su Özgür (ORCID: https://orcid.org/0000-0002-8993-674X)
- H Benzer (ORCID: https://orcid.org/0000-0001-8046-6350)
- İsmail Toygar (ORCID: https://orcid.org/0000-0003-3065-5756)
- Meryem Koçaslan Toran (ORCID: https://orcid.org/0000-0002-6956-2445)
- Serpilay Mum
Institutions
- Bahçeşehir University (TR)
- Ege University (TR)
- Hasan Kalyoncu University (TR)
- Mustafa Kemal University (TR)
- Muğla University (TR)
Publication Details
- Journal
- Diabetology & Metabolic Syndrome
- Published
- 2024-10-07
- DOI
- https://doi.org/10.1186/s13098-024-01480-z
- Citations
- 2
- Primary Topic
- Diabetic Foot Ulcer Assessment and Management
- Type
- article
- Field-Weighted Citation Impact
- 0.72