Predicting Diabetes Disease Occurrence Using Logistic Regression: An Early Detection Approach
Diabetes disease is prevalent worldwide, and predicting its progression is crucial. Several model have been proposed to predict such disease. Those models only determine the disease label, leaving the likelihood of developing the disease unclear. Proposing a model for predicting the progression of...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
College of Education, Al-Iraqia University
2024-01-01
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| Series: | Iraqi Journal for Computer Science and Mathematics |
| Subjects: | |
| Online Access: | https://journal.esj.edu.iq/index.php/IJCM/article/view/987 |