EVAapplication/xmlftp://ftp.ebi.ac.uk/pub/databases/eva/PRJEB43233/SNP-VCF.vcf.gzftp://ftp.ebi.ac.uk/pub/databases/eva/PRJEB43233/SNP-VCF.vcf.gz.tbiprimaryOK2000000Genotyping By SequencingGenomicsGuanghua School of Stomatology, Sun Yat-sen University-Homo Sapienshttps://www.ebi.ac.uk/eva/?eva-study=PRJEB43233EVACaries, Transfer Learning, Spot, DENT WHITE SPOT, Risk, Machine, Risks, Learning, WHITE SPOTS DENT, familial, DECAY DENT, DENT DECAY, dental caries extending into pulp, Spots, dental caries pit and fissure, Dental, dental caries of smooth surface, genetic, DENT CARIES, Relative, White Spots, White Spot, Algorithm, Dental White Spots, DENT WHITE SPOTS, Relative Risks, CARIES DENT, dental caries, WHITE SPOT DENT, Dental White Spot, White, inherited genetic, Decay, Transfer, constitutitional genetic, Dental Decay, hereditary., Relative Risk, cariesSpot, DENT WHITE SPOT, 3BP2, Learning, WHITE SPOTS DENT, familial, Client, Child, Ala-Met-Pro-Met-Leu-Arg-Leu-NH2, DENT CARIES, Literatures, Relative, School-Age, School Age, Algorithm, Relative Risks, CARIES DENT, WHITE SPOT DENT, CRPM, Transfer, Only Children, Relative Risk, School Age Populations., study, Caries, School-Age Populations, CARP (Mytilus), Transfer Learning, Populations, Risk, 3BP-2, Machine, Risks, DECAY DENT, DENT DECAY, dental caries extending into pulp, patient, Spots, dental caries pit and fissure, Population, Children, Dental, dental caries of smooth surface, genetic, White Spots, CRBM, Patient, Only, Clients, White Spot, Dental White Spots, DENT WHITE SPOTS, dental caries, Dental White Spot, White, inherited genetic, School-Age Population, Decay, School Age Population, constitutitional genetic, hereditary, Dental Decay, caries0falseA New Model for Caries Risk Prediction in Teenagers Using a Machine Learning Algorithm Based on Environmental and Genetic FactorsThis study describes the construction of a caries risk prediction model (CRPM) based on both environmental and genetic factors, using a machine learning algorithm. This CRPM included specific patient characteristics, such as SNPs, gender, and factors like the participants being the only child of the respective families, to provide an estimate of the absolute risk of a specific caries outcome. We believe that our study makes a significant contribution to the literature because the newly constructed CRPM can accurately identify a high caries-risk population2021-02-23PRJEB432339606