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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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-03-01
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| Series: | BMC Oral Health |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12903-025-05768-y |
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