MEDICAL FUZZY-EXPERT SYSTEM FOR PREDICTION OF ENGRAFTMENT DEGREE OF DENTAL IMPLANTS IN PATIENTS WITH CHRONIC LIVER DISEASE

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.

Keywords:

medical expert systems, fuzzy logic, patient safety, dental implants, chronic liver pathology

References

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. DOI: https://doi.org/10.1038/s41405-021-00086-1

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. DOI: https://doi.org/10.1111/clr.13461

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. DOI: https://doi.org/10.1002/14651858.CD010176.pub3

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. DOI: https://doi.org/10.1590/1807-3107bor-2019.vol33.0069

Clinical guidelines for the management of pulpal diseases, approved by Decree 15 of the Council of Public Association: Russian Dental Association. 2018.

Demkovich A. E., Yakymchuk M. M., Sverstyuk A. S.: Etiological risk factors for the occurrence of peri-implantitis. Clinical dentistry 2(31), 2020, 62–69.

Guo Y. et al.: Influence of marginal bone resorption on two mini implant-retained mandibular overdenture: An in vitro study. J Adv Prosthodont. 13(1), 2021, 55–64. DOI: https://doi.org/10.4047/jap.2021.13.1.55

Katelyan O. V. et al.: Study of the peripheral blood circulation of an abdominal wall using optoelectronic plethysmograph. W.Wojcik et al. (eds): Information Technology in Medical Diagnostics II. CRC Press, Balkema book, Taylor & Francis Group, London, UK, 2019, 119–125. DOI: https://doi.org/10.1201/9780429057618-15

Kozlovska T. I. et al.: Device to determine the level of peripheral blood circulation and saturation. Proc. SPIE 10031, 2016, 100312Z. DOI: https://doi.org/10.1117/12.2249131

Nizhynska-Astapenko Z. et al.: Information medical fuzzy-expert systemfor the assessment of the diabetic ketoacidosis severity on the base of the blood gases indices. Proc. SPIE 12126, 2021. DOI: https://doi.org/10.1117/12.2616675

Pavlov S. V. et al.: Analysis of microcirculatory disorders in inflammatory processes in the maxillofacial region on based of optoelectronic methods. Przeglad Elektrotechniczny 93(5), 2017, 114–117. DOI: https://doi.org/10.15199/48.2017.05.23

Pavlov S. V. et al.: Electro-optical system for the automated selection of dental implants according to their colour matching. Przeglad Elektrotechniczny 93(3), 2017, 121–124. DOI: https://doi.org/10.15199/48.2017.03.28

Pelekhan B. L., Rozhko M. M.: Bone tissue resorption around intraosseous dental implants in patients with mandible edentulousness. Stomatological Bulletin 121(4), 2023, 55–62.

Pelekhan B. et al.: Analytical Modeling of the Interaction of a Four Implant-Supported Overdenture with Bone Tissue. Materials 15(7), 2022, 2398. DOI: https://doi.org/10.3390/ma15072398

Polishchuk S. S., Skyba V. Ya., Davydenko I. S.: Histological changes of bone tissue in the perforation defect site of the rat mandibule when using hepatoprotector in odstructive hepatitis. World of medicine and biology 16(72), 2020, 193–198. DOI: https://doi.org/10.26724/2079-8334-2020-2-72-193-198

Polishchuk V. S., Polishchuk S. S.: Peculiarities of the course after the operative course of patients after dental implantation on the background of the pathology of the hepatobilier system. Stomatological Bulletin 120(3), 2022, 51–56.

Rotshtein A.: Design and Tuning of Fussy IF –THEN Vuly for Medical Didicol Diagnosis. H.-N.L Teodorescu, et al. (eds): Fuzzy and Neuro-Fuzzy Systems in Medicine. CRC-Press, 1998, 235–295.

Sidor O. V.: The strategy for planning surgical stage dental implantation. Stomatological Bulletin 118(1), 2022, 50–55. DOI: https://doi.org/10.35220/2078-8916-2022-43-1.9

Semenov Ye. I. et al.: Comparative characteristics of dental defects and the volume of implantological care in the young population of Ukraine. Stomatological Bulletin 119(2), 2022, 60–65.

Serkova V. K. et al.: Medical expert system for assessment of coronary heart disease destabilization based on the analysis of the level of soluble vascular adhesion molecules. Proc. SPIE 10445, 2017, 104453O. DOI: https://doi.org/10.1117/12.2280984

Shkilniak L. et al.: Expert fuzzy systems for evaluation of intensity of reactive edema of soft tissues in patients with diabetes. Informtyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska – IAPGOS, 2022, 3, 59–63. DOI: https://doi.org/10.35784/iapgos.3037

Taubayev G. et al.: Machine learning algorithms and classificationof textures. Journal of Theoretical and Applied Information Technologythis 98(23), 2020, 3854–3866.

Ushenko Yu. A., Sidor M. I., Bodnar G. B.: Mueller-matrix mapping of optically anisotropic fluorophores of biological tissues in the diagnosis of cancer. Quanrum Electron. 44(8), 2014, 785–790. DOI: https://doi.org/10.1070/QE2014v044n08ABEH015295

Ushenko V. A., Gavrylyak M. S.: Azimuthally invariant Mueller-matrix mapping of biological tissue in differential diagnosis of mechanisms protein molecules networks anisotropy. Proc. SPIE 8812, 2016, 88120Y. DOI: https://doi.org/10.1117/12.2023686

Vasilevskyi O. et al.: Method of evaluating thelevel of confidence basedon metrological risks for determining the coverage factorin the concept of uncertainty. Proc. SPIE. 10808, 2018, 108082C.

Vassilenko V. et al.: Automated features analysis of patients with spinal diseases using medical thermal images. Proc. SPIE 11456, 2020, 114560L. DOI: https://doi.org/10.1117/12.2569780

Wójcik W. et al. (eds): Information Technology in Medical Diagnostics. CRC Press, 2017. DOI: https://doi.org/10.1201/9781315098050

Wójcik W. et al. (eds): Information Technology in Medical Diagnostics II. Taylor & Francis Group. CRC Press, Balkema Book, London, 2019. DOI: https://doi.org/10.1201/9780429057618

Wójcik W. et al.: Medical Fuzzy-Expert System for Assessment of the Degree of Anatomical Lesion of Coronary Arteries. Int. J. Environ. Res. Public Health 20(2), 2023, 979 [https://doi.org/10.3390/ijerph20020979]. DOI: https://doi.org/10.3390/ijerph20020979

Zabolotna N. I. et al.: Diagnostics of pathologically changed birefringent networks by means of phase Mueller matrix tomography. Proc. SPIE 8698, 2013, 86980C. DOI: https://doi.org/10.1117/12.2019476

Zabolotna N. I. et al.: System of polarization phasometry of polycrystalline blood plasma networks in mammary gland pathology diagnostics. Proc. SPIE 9613, 2015, 961311. DOI: https://doi.org/10.1117/12.2187383

Polishchuk, V., Pavlov, S., Polishchuk, S., Shuvalov, S., Dalishchuk, A., Sachaniuk-Kavets’ka, N., … Nazerke, A. (2024). MEDICAL FUZZY-EXPERT SYSTEM FOR PREDICTION OF ENGRAFTMENT DEGREE OF DENTAL IMPLANTS IN PATIENTS WITH CHRONIC LIVER DISEASE . Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 14(1), 90–94. https://doi.org/10.35784/iapgos.5585

MEDICAL FUZZY-EXPERT SYSTEM FOR PREDICTION OF ENGRAFTMENT DEGREE OF DENTAL IMPLANTS IN PATIENTS WITH CHRONIC LIVER DISEASE

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