Deep Learning Model for Diagnosing Diabetes
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Work Details
- DOI 10.4018/978-1-6684-3791-9.ch001
- OpenAlex ID W4280611221
- Type Book-chapter
- Language EN
- Published 16 May 2022
- Pages 1–26
- Source Advances in medical technologies and cli…
- Publisher IGI Global
- Countries 1
- Institutions 3
- Added 22 May 2022
- Updated 27 Oct 2026
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Deep Learning Model for Diagnosing Diabetes
Book-chapter 2022 EN
Diabetes is one of the most prevalent chronic diseases among all the age groups in developing nations like India. The work collates various machine learning techniques such as SVM, random forests, naive bayes and proposed MLP to perform better detection of diabetes in humans. The goal of this study is to predict the diabetes through neural network of multilayer perceptron. In this study, multilaye…
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UN Sustainable Development Goals
1 SDGsAuthors & Affiliations
5 authors| # | Author | Institutions | ORCID |
|---|---|---|---|
| 1 | Saravana Kumar N. M. | M. Kumarasamy College of Engin… (IN) | — |
| 2 | S. Tamilselvi | Bannari Amman Institute of Tec… (IN) | |
| 3 | K. Hariprasath | — | — |
| 4 | A. Kavinya | Anna University, Chennai (IN) | — |
| 5 | N. Kaviyavarshini | Anna University, Chennai (IN) | — |
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