Mohamad Nasarudin AdnanWan Muhamad Amir W AhmadFarah Muna Mohamad GhazaliNor Azlida AlengMohamad Shafiq Mohd IbrahimNurfadhlina Abdul Halim2025-08-122025-08-1220252025-8-12Mohamad Nasarudin Adnan,Wan Muhamad Amir W Ahmad,Farah Muna Mohamad Ghazali,Nor Azlida Aleng,Mohamad Shafiq Mohd Ibrahim,Nurfadhlina Abdul Halim. (2025). Hybrid Methodology for Predicting Hypertension in Patients with Dyslipidemia and Type 2 Diabetes Mellitus. Advances and Applications in Statistics, 92(7), 1023–1030. https://doi.org/10.17654/09723617250453049-21652353-3110.17654/0972361725045https://oarep.usim.edu.my/handle/123456789/27402https://www.pphmjopenaccess.com/index.php/aas/article/view/2948Indexed by WOS/Scopus/ERAThis study uses statistical computational methods to model hypertension in patients with dyslipidemia and type 2 diabetes. A retrospective analysis of 39 patients from Hospital Universiti Sains Malaysia identified key factors like blood pressure, glucose, and cholesterol. A hybrid model combining bootstrap, logistic regression, and neural networks achieved 99.99% accuracy with a MAD of 0.0001. Eight factors were significantly associated with hypertension, demonstrating the model’s high predictive power and reliability for risk assessment.en-UStext::journal::journal article10231030927