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...

Descripción completa

Detalles Bibliográficos

Publicado en:	Makara Journal of Health Research Vol. 27; no. 2; pp. 135 - 143
Autores principales:	Ahmad, Wan Muhamad Amir W., Bin Adnan, Mohamad Nasarudin, Yusop, Norhayati, Bin Shahzad, Hazik, Ghazali, Farah Muna Mohamad, Aleng, Nor Azlida, Noor, Nor Farid Mohd
Formato:	equations & formulas research tables/charts Journal Article
Publicado:	Universitas Indonesia Aug2023
Acceso en línea:	Ver este registro en EBSCOhost