Forecasting and Diagnosing Cardiovascular Disease Based on Inverse Fuzzy Models
- Авторы: Chernova I.V.1, Sumin S.A.1, Bobyr M.V.2, Seregin S.P.2
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Учреждения:
- Kursk State Medical University
- Southwest State University
- Выпуск: Том 49, № 5 (2016)
- Страницы: 263-267
- Раздел: Article
- URL: https://ogarev-online.ru/0006-3398/article/view/234174
- DOI: https://doi.org/10.1007/s10527-016-9545-y
- ID: 234174
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Аннотация
Advance formalization of a generalized fuzzy-logic mathematical model for forecasting and diagnosing cardiovascular complications is described. The model improves time of decision-making of anesthetist regarding the causes of complications and optimizes the perioperative period by prenosological prevention of occurring precursors of complications, reducing their total number and severity of clinical manifestations.
Об авторах
I. Chernova
Kursk State Medical University
Автор, ответственный за переписку.
Email: irinavasilevna@mail.ru
Россия, Kursk
S. Sumin
Kursk State Medical University
Email: irinavasilevna@mail.ru
Россия, Kursk
M. Bobyr
Southwest State University
Email: irinavasilevna@mail.ru
Россия, Kursk
S. Seregin
Southwest State University
Email: irinavasilevna@mail.ru
Россия, Kursk
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