Experience in the Development and Application of an Expert System for Predicting the Risk of Violations of Occlusive Relationships
Year: 2024
Type: conference-paper
Abstract: The article presents the experience of developing and applying an expert system based on artificial neural networks to predict the risk of violations of occlusive relationships. The relevance of the study is due to the high prevalence of occlusive disorders and the need for an individual approach in their diagnosis and treatment. The system, based on machine learning methods, analyzes patient data and provides dentists with accurate forecasts and recommendations. A randomized controlled trial involving 150 patients confirmed the effectiveness of the model, demonstrating the accuracy of risk classification with an accuracy of more than 93% for each study. The results confirm the expediency of introducing such technologies into clinical practice to improve the accuracy of diagnosis, optimize treatment processes and prevent complications. The study was conducted as part of the scientific work on the development of a methodology for neural network analysis and forecasting the risk of developing violations of occlusive relationships within the framework of the implementation of the Russian Science Foundation grant dated 12.04.2024 No. 24-25-20098 and the Agreement on the provision from the regional budget (Volgograd region) subsidies dated 31.05.2024 No. 10.
Institution: Volgograd State Medical University
Language: English
Subfield: Orthodontics
Field: Dentistry
Domain: Health Sciences
Open Access status: gold
OpenAlex ID: W4405332656