Research Protocol - EpiDentLatvia - Usefulness of Machine Learning to identify Caries Risk Factors in Epidemiological Data

This research protocol outlines a method for studying early childhood caries risk factors in children aged 2-5 in Latvia. Using a case-control design, it evaluates behavioral, dietary, and clinical determinants through parent interviews in various dental settings. The study includes a sampling method with a sample size of 770, a validated 16-item questionnaire, and standardized interviewer training. Key methods involve logistic regression modeling, factor analysis for risk clustering, and quality assurance measures to maintain data integrity. The research aims to fill knowledge gaps about caries risk patterns specific to the population and offers evidence-based recommendations for pediatric dental practices in the Baltic region. It adheres to international research standards, including ethical principles from the Helsinki Declaration, transparent consent procedures, and strong data protection measures. The findings will aid in developing targeted preventive interventions and clinical tools for identifying high-risk children. The project is funded by "RSU internal and RSU with LASE external consolidation" No. 5.2.1.1.i.0/2/24/I/CFLA/005.