Application of machine learning and laser optical-acoustic spectroscopy to study the profile of exhaled air volatile markers of acute myocardial infarction

Conventional acute myocardial infarction (AMI) diagnosis is quite accurate and has proved its effectiveness. However, despite this, discovering more operative methods of this disease detection is underway. From this point of view, the application of exhaled air analysis for a similar diagnosis is va...

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Bibliographic Details

Published in:	Journal of breath research Vol. 15, № 2. P. 027104 (1-15)
Other Authors:	Borisov, Alexey V. 1980-, Syrkina, Anna G., Kuzmin, Dmitry A., Ryabov, Vyacheslav V., Boyko, Andrey A., Zakharova, Olga A., Zasedatel, Vyacheslav S., Kistenev, Yury V.
Format:	Article
Language:	English
Subjects:	острый инфаркт миокарда выдыхаемый воздух машинное обучение лазерная фотоакустическая спектроскопия метод опорных векторов метод главных компонент летучие маркеры статьи в журналах
Online Access:	http://vital.lib.tsu.ru/vital/access/manager/Repository/koha:000924834 Перейти в каталог НБ ТГУ