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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Hlavní autoři: Yafei Wu, Maoni Jia, Ya Fang, Duangporn Duangthip, Chun Hung Chu, Sherry Shiqian Gao
Médium: Artigo
Jazyk:Inglês
Vydáno: BMC 2025-03-01
Edice:BMC Oral Health
Témata:
Machine learning
Early childhood caries
Predictor
Support vector machine
Extreme gradient boosting
SHAP
On-line přístup:https://doi.org/10.1186/s12903-025-05768-y
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