Machine-Learning Model for Personalized Periodontitis Risk Prediction from Electronic Dental Records

Posted: November 19, 2024
A machine-learning model was developed to predict the risk of Periodontal Disease (PD) using nonimage electronic dental records (EDRs) from the BigMouth repository in the US. The model showed high sensitivity (81%) and excellent accuracy (94%) in predicting PD compared to other techniques. Important predictors included bleeding proportion, age, number of visits, preventive treatment, smoking, and drug usage. The model's early detection and prevention capabilities show promise for personalized risk predictions and targeted interventions, potentially reducing workload and improving patient outcomes through data-based dental care.

This article summary was generated by AI. To view the full article, click the link here: https://pubmed.ncbi.nlm.nih.gov/39571782/
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