Background: Early childhood caries (ECC) is a highly prevalent oral disease among children worldwide, arising from multiple contributing factors. This study aimed to investigate the sociodemographic and clinical factors associated with ECC in preschool children attending a hospital in Ica, Peru.
Methods: This observational cross-sectional study involved 186 children evaluated during two dental health campaigns organised by a hospital in Ica, Peru.
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.