An explainable analysis of diabetes mellitus using statistical and artificial intelligence techniques
An integrated analysis of DM using a variety of methodologies is critical for timely detection of the disease and informed clinical decision-making.
Authors
- José Aguilar (ORCID: https://orcid.org/0000-0003-4194-6882)
- William Hoyos (ORCID: https://orcid.org/0000-0002-9165-8208)
- Kenia Hoyos (ORCID: https://orcid.org/0000-0003-0203-2367)
- Rander Ruíz (ORCID: https://orcid.org/0000-0002-2982-4367)
Institutions
- Universidad de Los Andes (VE)
- IMDEA Networks (ES)
- University of Córdoba (CO)
- Universidad de Antioquia (CO)
- Hospital Universitario de Sincelejo (CO)
- Universidad Cooperativa de Colombia (CO)
- Universidad EAFIT (CO)
Publication Details
- Journal
- BMC Medical Informatics and Decision Making
- Published
- 2024-12-18
- DOI
- https://doi.org/10.1186/s12911-024-02810-x
- Citations
- 5
- Primary Topic
- Artificial Intelligence in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 3.54
Funders
- Universidad Cooperativa de Colombia