A Machine Learning Technique for Detection of Diabetes Melli…
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- DOI 10.1109/ited56637.2022.10051439
- OpenAlex ID W4323021782
- Type Conference-paper
- Language EN
- Published 01 Nov 2022
- Pages 1–6
- FWCI 0.23
- Countries 1
- Institutions 3
- Added 10 Oct 2025
- Updated 14 Oct 2026
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A Machine Learning Technique for Detection of Diabetes Mellitus
Conference-paper 2022 EN
The need for early detection of diabetes mellitus has led to the development of various intelligent systems using machine learning and artificial intelligence for the recognition of the presence of the disease. However, most of the techniques have yielded a comparatively lower accuracy. This research applied data science techniques to a dataset of diabetes mellitus to improve the accuracy of the p…
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UN Sustainable Development Goals
1 SDGsAuthors & Affiliations
5 authors| # | Author | Institutions | ORCID |
|---|---|---|---|
| 1 | Awoniran Olalekan Monsir | Bowen University (NG) | |
| 2 | Olufemi Moses Oyelami | Bowen University (NG) | |
| 3 | Rhoda N. Ikono | Adekunle Ajasin University (NG) Obafemi Awolowo University (NG) | |
| 4 | Rantiola Fidelis Famutimi | Bowen University (NG) | — |
| 5 | T.I. Famutimi | Bowen University (NG) | — |
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