Predictive models and determinants of mortality among T2DM patients in a tertiary hospital in Ghana, how do machine learning techniques perform?
This study found that all in-patients with sepsis died. Nephropathy was the identified significant predictor of T2DM mortality. Decision tree classifier provided the best classifying potential.
Authors
- Godsway Edem Kpene (ORCID: https://orcid.org/0000-0001-8738-696X)
- Sylvester Yao Lokpo (ORCID: https://orcid.org/0000-0002-1628-0735)
- Sandra A. Darfour-Oduro
Institutions
- Elon University (US)
- University of Health and Allied Sciences (GH)
Publication Details
- Journal
- BMC Endocrine Disorders
- Published
- 2025-01-10
- DOI
- https://doi.org/10.1186/s12902-025-01831-5
- Citations
- 6
- Primary Topic
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Type
- article
- Field-Weighted Citation Impact
- 7.77