Diabetes prediction using hybrid supervised and unsupervised techniques based on PIMA dataset
Diabetes prediction using machine learning remains challenging due to the limited size and inherent imbalance of available medical datasets. This paper presents a hybrid framework that blends supervised and unsupervised machine learning techniques to improve the accuracy and robustness of early diab...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | en |
| Published: |
Intelligence Science and Technology Press Inc.
2025
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| Subjects: | |
| Online Access: | http://psasir.upm.edu.my/id/eprint/123687/1/123687.pdf http://psasir.upm.edu.my/id/eprint/123687/ https://ojs.istp-press.com/jait/article/view/899 |
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