Machine learning for high-risk hospitalization prediction in outpatient individuals with diabetes at a tertiary hospital
The proposed model demonstrated high predictive capability and may help to identify patients with diabetes who should be more closely monitored to reduce their risk of hospitalization.
Authors
- Beatriz D. Schaan (ORCID: https://orcid.org/0000-0002-2128-8387)
- Mateus Augusto dos Reis (ORCID: https://orcid.org/0000-0003-0510-4506)
- Flávio S. Fogliatto (ORCID: https://orcid.org/0000-0002-0323-8060)
- Carolina Deina (ORCID: https://orcid.org/0000-0002-5583-0509)
Institutions
- Universidade Federal do Rio Grande do Sul (BR)
- Universidade Feevale (BR)
- Hospital de Clínicas de Porto Alegre (BR)
Publication Details
- Journal
- Archives of Endocrinology and Metabolism
- Published
- 2025-01-01
- DOI
- https://doi.org/10.20945/2359-4292-2024-0317
- Primary Topic
- Chronic Disease Management Strategies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Conselho Nacional de Desenvolvimento Científico e Tecnológico
- Hospital de Clínicas de Porto Alegre
- Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul
- Universidade Federal do Rio Grande do Sul
- Fakultet Medicinskih Nauka, Univerziteta U Kragujevcu
- Division of Graduate Education