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Интеллектуальная Система Тематического Исследования НАукометрических данных |
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Mathematical Model of Building a Neural Network for Diagnosing Circulatory Disordersстатья
- Авторы: Bunicheva A.Ya, Kochetov E.V., Mukhin S.I.
- Журнал: Moscow University Computational Mathematics and Cybernetics
- Том: 46
- Номер: 3
- Год издания: 2022
- Издательство: Allerton Press Inc.
- Местоположение издательства: United States
- Первая страница: 125
- Последняя страница: 132
- DOI: 10.3103/s0278641922030049
- Аннотация: A mathematical model of building a neural network for diagnosing circulatory disordersin the vessels of a human’s circulation is considered. A procedure is proposed for creating a virtualdatabase for diagnosing with mathematical modeling of the blood flow in a quasi- one dimensionalapproximation of hemodynamics. Estimates of the accuracy of diagnosis are obtained using theproposed neural network for a set of circulatory pathologies. It is shown that some characteristicblood flow disorders reproduced in computation experiments are determined with fair reliability.
- Добавил в систему: Мухин Сергей Иванович