Prediction of Factors for Patients with Hypertension and Dyslipidemia Using Multilayer Feedforward Neural Networks and Ordered Logistic Regression Analysis: A Robust Hybrid Methodology

Prediction of Factors for Patients with Hypertension and Dyslipidemia Using Multilayer Feedforward Neural Networks and Ordered Logistic Regression Analysis: A Robust Hybrid Methodology

Background: Hypertension is characterized by abnormally high arterial blood pressure and is a public health problem with a high prevalence of 20%–30% worldwide. This research combined multiple logistic regression (MLR) and multilayer feedforward neural networks to construct and validate a model for...

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Bibliographic Details
Main Authors: Wan Muhamad Amir W Ahmad, Mohamad Nasarudin Bin Adnan, Norhayati Yusop, Hazik Bin Shahzad, Farah Muna Mohamad Ghazali, Nor Azlida Aleng, Nor Farid Mohd Noor
Format: Article
Language:English
Published: Universitas Indonesia 2023-08-01
Series:Makara Journal of Health Research
Subjects:
dyslipidemia
hypertension
multilayer feedforward neural networks
ordinal logistic regression
Online Access:https://scholarhub.ui.ac.id/mjhr/vol27/iss2/8/

Internet

https://scholarhub.ui.ac.id/mjhr/vol27/iss2/8/

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