Modeling coronary heart disease risk based on age, fatty food consumption and anxiety factors using penalized spline nonparametric logistic regression

Modeling coronary heart disease risk based on age, fatty food consumption and anxiety factors using penalized spline nonparametric logistic regression

Coronary Heart Disease (CHD) represents a significant public health challenge in Indonesia, contributing substantially to morbidity and mortality rates. We propose a new method for modeling CHD risk by considering the influencing factors, namely age, fatty food consumption and anxiety using Penalize...

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Bibliographic Details
Main Authors: Nur Chamidah, Budi Lestari, Hendri Susilo, Triana Kesuma Dewi, Toha Saifudin, Naufal Ramadhan Al Akhwal Siregar, Dursun Aydin
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:MethodsX
Subjects:
Penalized Spline Nonparametric Logistic Regression (PSNLR)
Online Access:http://www.sciencedirect.com/science/article/pii/S2215016125001669
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