A soft computing approach for diabetes disease classification
As a chronic disease, diabetes mellitus has emerged as a worldwide epidemic. The aim of this study is to classify diabetes disease by developing an intelligence system using machine learning techniques. Our method is developed through clustering, noise removal and classification approaches. Accordin...
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| Main Authors: | , , , , |
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| Format: | Article |
| Published: |
SAGE Publications Ltd
2018
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/86591/ http://dx.doi.org/10.1177/1460458216675500 |
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| Institution: | Universiti Teknologi Malaysia |