| Popis: |
Based on the comparative analysis of the automated methods and tools of monitoring and diagnostics for the early detection of human dental diseases, the purpose and main issues of the article are determined. The article deals with the automation of the processes of monitoring and diagnosis of human dental diseases for their early detection. The automated system is proposed to be built on the basis of a database of expert knowledge, as well as a graphical representation of human dental diseases. A production model has been developed for diagnosing the current condition of the teeth, which allows you to quickly take measures to eliminate dental diseases. The main types of dental diseases with places of caries, pulpitis, periodontitis, gingivitis, periodontitis and their causes are presented. On the basis of the proposed tools, it is possible to determine the dynamics of the spread of medium and deep caries. A database was created based on the relational representation of knowledge and the causes of dental diseases in the form of a table. With the presentation of fuzzy numerical data in accordance with the types of diseases, a production model is developed for a thorough diagnosis of the current condition of the tooth and the correct adoption of measures to eliminate the disease of the tooth on the example of caries. An experiment was conducted for accurate monitoring and automated diagnosis of the patient's tooth disease based on logical expressions of the production model, assigning fuzzy values of the types of caries and their graphical representations. To obtain an accurate result of the diagnosis of the current tooth disease of the patient, a block diagram of a set of teeth, their identified diseases with a frontal view and a top view in a 2-dimensional coordinate system is proposed. Creating a structural diagram of the placement of teeth in a 2-dimensional coordinate system allows you to accurately determine the schematic distribution of medium and deep caries, therefore, make the right decision to eliminate these diseases. |
