A Hybrid Approach to Modelling ECC Risk: Effectiveness of Nonparametric Regression and MLFNN Techniques

A Hybrid Approach to Modelling ECC Risk: Effectiveness of Nonparametric Regression and MLFNN Techniques

Introduction. Early childhood caries (ECC) is a prevalent dental condition that significantly impacts children’s quality of life and is influenced by both environmental and metabolic factors. Anthropometric variables such as weight, height, and body mass index serve as indicators of overall growth a...

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Bibliographic Details
Main Authors: Fei Hong Seng, Wan Muhamad Amir W Ahmad, Mohamad Nasarudin Adnan, Farah Muna Mohamad Ghazali, Nor Azlida Aleng
Format: Article
Language:English
Published: Ivano-Frankivsk National Medical University 2025-03-01
Series:Galician Medical Journal
Subjects:
nonparametric regression
generalized additive model
multilayer feed-forward neural network
early childhood caries
family size
weight
height
body mass index
Online Access:https://ifnmujournal.com/gmj/article/view/2058
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