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16 December 2024 Neural network method for assessing the effectiveness of the formation of pathological and keloid scars
Kateryna Lokes, David Avetikov, Sergii Pavlov, Mariia Faustova, Olena Ivanytska, Yuliia Saldan, Yuliia Pylypets, Zbigniew Omiotek, Saule Smailova
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Proceedings Volume 13400, Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2024; 134000A (2024) https://doi.org/10.1117/12.3054876
Event: Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2024, 2024, Lublin, Poland
Abstract
The paper analyses the main areas of application of mathematical methods in medical diagnostics, formulates the principles of diagnostics based on fuzzy logic. The basic structure of the MIS medical information system for assessing effectiveness of the formation of pathological and keloid scars was developed and the main recommendations for its design were put forward, namely: the selection and purpose of the system; construction of an algorithm for solving the problems of evaluating biomedical information and forming diagnostic and prognostic conclusions. The results of the study made it possible to obtain a conclusion about the high reliability of the obtained results during evaluation of effectiveness of the formation of pathological and keloid scars. The practical value of the work is realized in the possibility of using an automated medical expert system to solve the problems of medical diagnosis based on fuzzy logic for assessing effectiveness of the formation of pathological and keloid scars.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Kateryna Lokes, David Avetikov, Sergii Pavlov, Mariia Faustova, Olena Ivanytska, Yuliia Saldan, Yuliia Pylypets, Zbigniew Omiotek, and Saule Smailova "Neural network method for assessing the effectiveness of the formation of pathological and keloid scars", Proc. SPIE 13400, Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2024, 134000A (16 December 2024); https://doi.org/10.1117/12.3054876
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KEYWORDS
Artificial neural networks
Fuzzy logic
Neural networks
Wound healing
Biomedical optics
Connective tissue
Medical diagnostics
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