Confusion Matrix for the Hybrid algorithms.

<div><p>Type 2 diabetes (T2D) is considered a significant global health concern. Hemoglobin A1c level (HbA1c) is recognized as the most reliable indicator for its diagnosis. Genetic, family, environmental, and health behaviors are the factors associated with the disease. T2D is linked to...

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Main Author:	Faten Al-hussein (20707521) (author)
Other Authors:	Mali Abdollahian (5940038) (author), Laleh Tafakori (12160805) (author), Khalid Al-Shali (20707524) (author)
Published:	2025
Subjects:	Biotechnology Cancer Science Policy Biological Sciences not elsewhere classified Information Systems not elsewhere classified substantial economic costs lipid profile data hemoglobin a1c level significant variables identified body mass index bmi ), triglycerides 10 kpis outperformed significant kpis tg ), gini index kpis ). study aims reliable indicator primary concern prevalence rate multiple algorithms medical records managing diabetes logistic regression hybrid approach human suffering health planners health behaviors hdl ). first time factors associated early stage density lipoprotein control study backward elimination associated predictors
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Confusion Matrix for the Hybrid algorithms.

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