Paper
20 December 2021 Information medical fuzzy-expert system for the assessment of the diabetic ketoacidosis severity on the base of the blood gases indices
Zorina Nizhynska-Astapenko, Sergiy Pavlov, Oleg Vlasenko, Waldemar Wojcik, Maryna Vlasenko, Olga Chaikovska, Volodymyr Pavlov, Ainur Orazayeva, Katerina Shevchuk, Tetiana Vuzh
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Proceedings Volume 12126, Fifteenth International Conference on Correlation Optics; 1212626 (2021) https://doi.org/10.1117/12.2616675
Event: Fifteenth International Conference on Correlation Optics, 2021, Chernivtsi, Ukraine
Abstract
Main directions of the application of the mathematical methods in medical diagnosis are analyzed, their drawbacks are evaluated , principles of diagnosis, based on fuzzy logic are formulated. Mathematical models and algorithms, formalizing the process of diagnostic decisions making on the base of fuzzy logic at quantitative and qualitative parameters of the patient state are developed; mathematical models of the membership functions, formalizing the presentation of quantitative and qualitative parameters of the patients state in the form of the fuzzy sets, used in the models and algorithms of diagnosis and determining the diagnosis in case of diabetic ketoacidosis are developed. Aim of the study is realization of the computer-based expert system for the solution of the problems, dealing with medical diagnosis on the base of fuzzy logic in case of Diabetic Ketoacidosis
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zorina Nizhynska-Astapenko, Sergiy Pavlov, Oleg Vlasenko, Waldemar Wojcik, Maryna Vlasenko, Olga Chaikovska, Volodymyr Pavlov, Ainur Orazayeva, Katerina Shevchuk, and Tetiana Vuzh "Information medical fuzzy-expert system for the assessment of the diabetic ketoacidosis severity on the base of the blood gases indices", Proc. SPIE 12126, Fifteenth International Conference on Correlation Optics, 1212626 (20 December 2021); https://doi.org/10.1117/12.2616675
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KEYWORDS
Fuzzy logic

Blood

Algorithm development

Mathematical modeling

Medical diagnostics

Diagnostics

Gases

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