A soft computing approach for diabetes disease classification

• Main Authors: Nilashi, Mehrbakhsh, Ibrahim, Othman, Mardani, Abbas, Ahani, Ali, Jusoh, Ahmad
• Format: Article
• Published: SAGE Publications Ltd 2018
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/id/eprint/86591/; http://dx.doi.org/10.1177/1460458216675500
• Institution: Universiti Teknologi Malaysia

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...