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:
Online Access:http://www.sciencedirect.com/science/article/pii/S2215016125001669
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