A Machine Learning Technique for Detection of Diabetes Melli…

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2022
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Work Details
  • 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…

1

Citations

32

References

5

Authors

0.23

FWCI

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UN Sustainable Development Goals
1 SDGs
Authors & Affiliations
5 authors
#AuthorInstitutionsORCID
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) —

Data: OpenAlex