Early childhood caries (ECC) prediction models using Machine Learning.

Background: To evaluate the performance of different prediction models based on machine learning to predict the presence of early childhood caries.

Material And Methods: Cross-sectional analytical study. The sociodemographic and clinical data used came from a sample of 186 children aged 3 to 6 years and their respective parents or guardians treated at a Hospital in Ica, Peru.