Use machine learning to predict treatment outcome of early childhood caries

Use machine learning to predict treatment outcome of early childhood caries

Abstract Background Early childhood caries (ECC) is a major oral health problem among preschool children that can significantly influence children’s quality of life. Machine learning can accurately predict the treatment outcome but its use in ECC management is limited. The aim of this study is to ex...

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Bibliographic Details
Main Authors: Yafei Wu, Maoni Jia, Ya Fang, Duangporn Duangthip, Chun Hung Chu, Sherry Shiqian Gao
Format: Article
Language:English
Published: BMC 2025-03-01
Series:BMC Oral Health
Subjects:
Machine learning
Early childhood caries
Predictor
Support vector machine
Extreme gradient boosting
SHAP
Online Access:https://doi.org/10.1186/s12903-025-05768-y
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