EXPERT FUZZY SYSTEMS FOR EVALUATION OF INTENSITY OF REACTIVE EDEMA OF SOFT TISSUES IN PATIENTS WITH DIABETES
Liudmyla Shkilniak
National Pirogov Memorial Medical University (Ukraine)
http://orcid.org/0000-0002-4925-7734
Waldemar Wójcik
Lublin University of Technology (Poland)
http://orcid.org/0000-0002-6473-9627
Sergii Pavlov
psv@vntu.edu.uaVinnytsia National Technical University (Ukraine)
http://orcid.org/0000-0002-0051-5560
Oleg Vlasenko
National Pirogov Memorial University (Ukraine)
http://orcid.org/0000-0001-8759-630X
Tetiana Kanishyna
National Pirogov Memorial Medical University (Ukraine)
http://orcid.org/0000-0001-9922-5960
Irina Khomyuk
Vinnytsia National Technical University (Ukraine)
http://orcid.org/0000-0002-2516-2968
Oleh Bezverkhyi
Vinnitsa State Pedagogical University named after M. Kotsiubynskyi (Ukraine)
http://orcid.org/0000-0001-9322-2646
Sofia Dembitska
Vinnytsia National Technical University (Ukraine)
http://orcid.org/0000-0002-2005-6744
Orken Mamyrbayev
Kazakh National Technical University named after K. I. Satbayev (Kazakhstan)
http://orcid.org/0000-0001-8318-3794
Aigul Iskakova
Kazakh National Research Technical University named after K. I. Satpayev (Kazakhstan)
http://orcid.org/0000-0001-8043-819X
Abstract
The paper analyzes the main areas of application of mathematical methods in medical diagnostics, formulates principles of diagnostics based on fuzzy logic; developed mathematical models and algorithms that formalize the process of making diagnostic decisions based on fuzzy logic with quantitative and qualitative parameters of the patient's condition; developed mathematical models of membership function. Mathematical models and algorithms have been developed that formalize the process of making diagnostic decisions based on fuzzy logic with quantitative and qualitative parameters of the patient's condition; developed mathematical models of membership functions, formalizing the representation of quantitative and qualitative parameters of the patient's condition in the form of fuzzy sets, used in models and algorithms for diagnosis and finding a diagnosis of assessing the intensity of reactive postoperative edema in patients of all study groups. An expert system was implemented for solving the problems of medical diagnosis based on fuzzy logic when assessing the intensity of reactive swelling of soft tissues, which develops in the postoperative period in patients of all study groups against the background of diabetes. The paper analyzes the main areas of application of mathematical methods in medical diagnostics, formulates the principles of diagnostics based on fuzzy logic.
Keywords:
information expert system, control, method of fuzzy sets, medical diagnostics, diabetes, dentistryReferences
Abdikerimova G. B. et al.: The analysis of textural images on the basis of orthogonal transformations. Journal of Theoretical and Applied Information Technologythis link is disabled 97(1), 2019, 15–22.
Google Scholar
Arakeri G. et al.: A randomized clinical trial to compare the efficacy of submucosal Aprotinin injection and intravenous Dexamethasone in reducing pain and swelling after third molar surgery: A prospective study. Journal of Maxillofacial and Oral Surgery 12(1), 2013, 71–75.
DOI: https://doi.org/10.1007/s12663-012-0364-8
Google Scholar
Azarova A., Zhytkevych O.: Mathematical methods of identification of ukrainian enterprises competitiveness level by fuzzy logic using. Economic Annals-XXI 9–10(2), 2013, 59–62.
Google Scholar
Clinical guidelines for the management of pulpal diseases, approved by Decree 15 of the Council of Public Association “Russian Dental Association”. Dated August 2, 2018.
Google Scholar
Nizhynska-Astapenko Z. et al.: Information medical fuzzy-expert system for the assessment of the diabetic ketoacidosis severity on the base of the blood gases indices. Proc. SPIE 12126, 2021, 1212626.
DOI: https://doi.org/10.1117/12.2616675
Google Scholar
Rotshtein A.: Design and Tuning of Fussy IF – THEN Vuly for Medical Didicol Diagnosis. Fuzzy and Neuro-Fuzzy Systems in Medicine. CRC-Press, 1998, 235–295.
Google Scholar
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
Google Scholar
Taubayev G. et al.: Machine learning algorithms and classification of textures. Journal of Theoretical and Applied Information Technologythis 98(23), 2020, 3854–3866.
Google Scholar
Vasilevskyi O. et al.: Method of evaluating the level of confidence based on metrological risks for determining the coverage factor in the concept of uncertainty. Proc. SPIE 10808, 2018, 108082C.
Google Scholar
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
Google Scholar
Vavilova T. P. et al.: Dental pulp responsiveness. Moscow State University of Medicine and Dentistry, 2017.
Google Scholar
Volgin M. A. et al.: Сomparative analysis of IL-1. COX-2 and type II collagenase gene expression profile in acute inflammed pulps. Endodontics today 4, 2016, 16–20.
Google Scholar
Wójcik W. et al.: Information Technology in Medical Diagnostics II. Taylor & Francis Group. CRC Press, Balkema Book. London 2019.
DOI: https://doi.org/10.1201/9780429057618
Google Scholar
Wójcik W. et al.: Information Technology in Medical Diagnostics. CRC Press. 2017.
DOI: https://doi.org/10.1201/9781315098050
Google Scholar
Authors
Liudmyla ShkilniakNational Pirogov Memorial Medical University Ukraine
http://orcid.org/0000-0002-4925-7734
Authors
Sergii Pavlovpsv@vntu.edu.ua
Vinnytsia National Technical University Ukraine
http://orcid.org/0000-0002-0051-5560
Authors
Oleg VlasenkoNational Pirogov Memorial University Ukraine
http://orcid.org/0000-0001-8759-630X
Authors
Tetiana KanishynaNational Pirogov Memorial Medical University Ukraine
http://orcid.org/0000-0001-9922-5960
Authors
Irina KhomyukVinnytsia National Technical University Ukraine
http://orcid.org/0000-0002-2516-2968
Authors
Oleh BezverkhyiVinnitsa State Pedagogical University named after M. Kotsiubynskyi Ukraine
http://orcid.org/0000-0001-9322-2646
Authors
Sofia DembitskaVinnytsia National Technical University Ukraine
http://orcid.org/0000-0002-2005-6744
Authors
Orken MamyrbayevKazakh National Technical University named after K. I. Satbayev Kazakhstan
http://orcid.org/0000-0001-8318-3794
Authors
Aigul IskakovaKazakh National Research Technical University named after K. I. Satpayev Kazakhstan
http://orcid.org/0000-0001-8043-819X
Statistics
Abstract views: 375PDF downloads: 238
License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Most read articles by the same author(s)
- Olessya A. Yuchshenko, Waldemar Wójcik, DEVELOPMENT OF SIMULATION MODEL OF STRIP PULL SELF-REGULATION SYSTEM IN DYNAMIC MODES IN A CONTINUOUS HOT GALVANIZING LINE , Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska: Vol. 4 No. 1 (2014)
- Shamil Koshymbaevich Koshymbaev, Zhibek Shegebaeva, Waldemar Wójcik, DEFINITION OF THE OBJECTS OF MULTIVARIABLE CONTROL OF TECHNOLOGICAL PROCESS OF SMELTING INDUSTRY ON THE BASIS OF OPTIMIZATION MODEL , Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska: Vol. 4 No. 1 (2014)
