Using a Machine Learning Algorithm to Predict the Likelihood of Presence of Dental Caries among Children Aged 2 to 7

Using a Machine Learning Algorithm to Predict the Likelihood of Presence of Dental Caries among Children Aged 2 to 7

Background: Dental caries is the most common chronic childhood infectious disease and is a serious public health problem affecting both developing and industrialized countries, yet it is preventable in most cases. This study evaluated the potential of screening for dental caries among children using...

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Bibliographic Details
Main Authors: Francisco Ramos-Gomez, Marvin Marcus, Carl A. Maida, Yan Wang, Janni J. Kinsler, Di Xiong, Steve Y. Lee, Ron D. Hays, Jie Shen, James J. Crall, Honghu Liu
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Dentistry Journal
Subjects:
dental caries
children
oral health
disparities
machine learning algorithms
random forest
Online Access:https://www.mdpi.com/2304-6767/9/12/141

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