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
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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
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