Prognosis of Recurrent Myocardial Infarction Based on Shortliffe Fuzzy Models Using the Electrical Characteristics of Biologically Active Points

This report discusses the employment of the electrical characteristics of biologically active points (BAP) in the meridian of the heart to solve the task of prognosticating recurrence of myocardial infarctions during the rehabilitation period using fuzzy decision rules. Employment of only the electrical characteristics of informative BAP was found to provide a reliability level of greater than 0.85 in decision-making, with a significant uncertainty zone. If additional features characterizing long-term psychoemotional tension − lipid peroxidation and antioxidant activity − are included, the reliability of prognoses of recurrence of myocardial infarction during remission reaches 0.95. © 2018, Springer Science+Business Media, LLC, part of Springer Nature.

Авторы
Korenevskiy N.A.1 , Seregin S.P.1 , Ivanov V.A. 2 , Kolesnik A.I.3 , Siplivy G.V.3 , Makkonen K.F.4 , Dmitrieva V.V.5 , Kicha D.I. 6 , Zubarev D.A.1
Журнал
Издательство
Springer New York LLC
Номер выпуска
1
Язык
Английский
Страницы
68-71
Статус
Опубликовано
Том
52
Год
2018
Организации
  • 1 Southwest State University, Kursk, Russian Federation
  • 2 Kursk State University, Kursk, Russian Federation
  • 3 Kursk State Medical University, Kursk, Russian Federation
  • 4 Belgorod State University, Belgorod, Russian Federation
  • 5 National Research Nuclear University MEPhI, Moscow, Russian Federation
  • 6 Peoples’ Friendship University of Russia, Moscow, Russian Federation
Ключевые слова
Decision making; Anti-oxidant activities; Biologically active points; Electrical characteristic; Fuzzy decision rules; Fuzzy models; Lipid peroxidation; Myocardial Infarction; Reliability level; Cardiology; accuracy; acute heart infarction; antioxidant activity; Article; biological activity; calculation; correlation coefficient; cumulative scale; decision making; electric activity; emotionality; energy balance; fuzzy system; high risk behavior; histogram; human; information science; lipid peroxidation assay; observation; pathology; priority journal; prognosis; prognostic assessment; reliability; remission; structure analysis; technology
Дата создания
19.10.2018
Дата изменения
19.10.2018
Постоянная ссылка
https://repository.rudn.ru/ru/records/article/record/6701/
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Другие записи

Yeh W.W., Fraser I.P., Jumes P., Petry A., Lepeleire I.D., Robberechts M., Reitmann C., Huang X., Guo Z., Panebianco D., Nachbar R.B., O'Mara E., Wagner J.A., Butterton J.R., Dutko F.J., Moiseev V., Kobalava Z., Hüser A., Visan S., Schwabe C., Gane E., Popa S., Ghicavii N., Uhle M., Wagner F., Van Dyck K.
Clinical Therapeutics. Том 40. 2018. С. 704-718.e6