Abstract
The paper presents an information technology for assessing the degree of engraftment of dental implants in the event of a pathology violation through the use of fuzzy sets, which allows using this method for medical diagnostic tasks. Main scientific results: developed algorithms and mathematical models that formalize the process supporting diagnostic decisions based on fuzzy logic; developed mathematical models of membership functions that formalize the presentation of qualitative and qualitative informational features based on the rules of fuzzy logic, which can be used in information expert systems when assessing the degree of engraftment of dental implants in case of disease with pathological diseases.
Reference31 articles.
1. Abdelhay N., Prasad S., Gibson M. P.: Guided versus non-guided dental implant placement: a systematic review and meta-analysis. BDJ Open. 7(1), 2021, 31.
2. Arunyanak S. P. et al.: The effect of factors related to periodontal status toward peri-implantitis. Clin Oral Implants Res. 30(8), 2019, 791–799.
3. Atieh M. A. et al.: Interventions for replacing missing teeth: alveolar ridge preservation techniques for dental implant site development. Cochrane Database of Systematic Reviews 4, 2021, CD010176.
4. Bertolini M. M. et al.: Does traumatic occlusal forces lead to peri-implant bone loss? A systematic review. Braz Oral Res. 33(suppl 1), 2019, e069.
5. Clinical guidelines for the management of pulpal diseases, approved by Decree 15 of the Council of Public Association: Russian Dental Association. 2018.