Adnan, Mohamad Nasarudin and Wan Ahmad, Wan Muhamad Amir and Mohamad Ghazali, Farah Muna and Aleng, Nor Azlida and Mohd Ibrahim, Mohamad Shafiq and Abdul Halim, Nurfadhlina (2025) Hybrid methodology for predicting hypertension in patients with dyslipidemia and type 2 diabetes mellitus. Advances and Applications in Statistics, 92 (7). pp. 1023-1030. ISSN 0972-3617 E-ISSN 3049-2165
|
PDF
- Published Version
Download (1MB) | Preview |
Abstract
This 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
| Item Type: | Article (Journal) |
|---|---|
| Uncontrolled Keywords: | hypertension, dyslipidemia, multiple logistic regression, type 2 diabetes mellitus, MLFNN, surface plot |
| Subjects: | Q Science > QA Mathematics > QA276 Mathematical Statistics R Medicine > RK Dentistry |
| Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): | Kulliyyah of Dentistry > Department of Paediatric Dentistry and Dental Public Health |
| Depositing User: | Dr Mohamad Shafiq Mohd Ibrahim |
| Date Deposited: | 11 Jun 2025 15:30 |
| Last Modified: | 11 Jun 2025 15:30 |
| URI: | http://irep.iium.edu.my/id/eprint/121444 |
Actions (login required)
 |
View Item |
Download Statistics
Download Statistics