Early Stage Diabetes Identification Using Machine Learning E…
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- DOI 10.1109/iccwamtip60502.2023.10387014
- OpenAlex ID W4390971112
- Type Conference-paper
- Language EN
- Published 15 Dec 2023
- Pages 1–13
- Source International Computer Conference on Wav…
- FWCI 0.29
- Countries 2
- Institutions 2
- Added 10 Oct 2025
- Updated 13 Oct 2026
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Early Stage Diabetes Identification Using Machine Learning Ensemble Techniques
Conference-paper 2023 EN
Diabetes or Diabetes mellitus (DM) is an illness in which patients build a high level of blood sugar due to metabolic disorders. Diabetes occurs due to the excessiveness of glucose in the human body. The proposed approach utilizes machine learning technique such as ensemble learning technique known as stacking to enhance the predictive accuracy of a classification model. The methodology involves w…
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UN Sustainable Development Goals
1 SDGsAuthors & Affiliations
5 authors| # | Author | Institutions | ORCID |
|---|---|---|---|
| 1 | Abdus Saboor | University of Electronic Scien… (CN) | |
| 2 | Jianping Li | University of Electronic Scien… (CN) | |
| 3 | Abid Hussain | Mohi-ud-Din Islamic University (PK) | — |
| 4 | Amin Ul Haq | University of Electronic Scien… (CN) | |
| 5 | Abdul Haq | University of Electronic Scien… (CN) | — |
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