Zobrazeno 1 - 10
of 10
pro vyhledávání: '"M. M. Tsivanyuk"'
Autor:
B. I. Geltser, K. I. Shakhgeldyan, V. Yu. Rublev, I. G. Domzhalov, M. M. Tsivanyuk, O. I. Shekunova
Publikováno v:
Российский кардиологический журнал, Vol 28, Iss 4 (2023)
Aim. To develop predictive models of inhospital mortality (IHM) in patients with coronary artery disease after coronary artery bypass grafting (CABG), taking into account the results of phenotyping of preoperative risk factors.Material and methods. T
Externí odkaz:
https://doaj.org/article/82af6ed649f442519c85e173617adc08
Publikováno v:
Российский кардиологический журнал, Vol 27, Iss 8 (2022)
Aim. To evaluate the predictive potential of the parameters of complete blood count (CBC), lipid profile and their ratios for predicting obstructive coronary artery disease (oCAD) in patients with non-ST elevation acute coronary syndrome (NSTEACS).Ma
Externí odkaz:
https://doaj.org/article/9a2b5de4817e450fbea894baa4e7f8cf
Autor:
M. M. Tsivanyuk, B. I. Geltser, K. I. Shakhgeldyan, E. D. Emtseva, G. S. Zavalin, O. I. Shekunova
Publikováno v:
Российский кардиологический журнал, Vol 27, Iss 6 (2022)
Aim. To assess the predictive potential of electrocardiographic (ECG), echocardiographic, and lipid parameters for predicting obstructive coronary artery disease (oCAD) in patients with non-ST-elevation acute coronary syndrome (NSTE-ACS) prior to inv
Externí odkaz:
https://doaj.org/article/b40805157ec94911b279b627bd92e76a
Publikováno v:
Кардиоваскулярная терапия и профилактика, Vol 19, Iss 1, Pp 99-105 (2020)
The review discusses an analysis of the literature on various aspects of the pathogenesis, diagnosis and treatment of vasospastic angina (VA). Data on the prevalence of coronary artery spasm (CAS) in various populations, as well as risk factors and t
Externí odkaz:
https://doaj.org/article/38e578182b4147e8adf076a8a66f2767
Publikováno v:
Российский кардиологический журнал, Vol 26, Iss 11 (2021)
Aim. To develop predictive models of obstructive coronary artery disease (OPCA) in patients with non-ST-segment elevation acute coronary syndrome (NSTE-ACS) based on the predictive potential of cardiometabolic risk (CMR) factors.Material and methods.
Externí odkaz:
https://doaj.org/article/6d68a83ae010476e8ff95eeee7370267
Publikováno v:
Российский кардиологический журнал, Vol 26, Iss 8 (2021)
Machine learning (ML) is among the main tools of artificial intelligence and are increasingly used in population and clinical cardiology to stratify cardiovascular risk. The systematic review presents an analysis of literature on using various ML met
Externí odkaz:
https://doaj.org/article/20509630f9164a70912f4854966808d2
Publikováno v:
Российский кардиологический журнал, Vol 25, Iss 12 (2020)
Machine learning (ML) are the central tool of artificial intelligence, the use of which makes it possible to automate the processing and analysis of large data, reveal hidden or non-obvious patterns and learn a new knowledge. The review presents an a
Externí odkaz:
https://doaj.org/article/2c6db3db51bd478da69277f14f7b220b
Publikováno v:
Российский кардиологический журнал, Vol 25, Iss 5 (2020)
The review presents an analysis of publications on use of machine learning (ML) to assess the pretest probability of obstructive and non-obstructive coronary artery disease (CAD). Data on the high prevalence of non-obstructive CAD among patients refe
Externí odkaz:
https://doaj.org/article/cbd26f0c80d54a95849b3a61b76a0aec
Publikováno v:
Pacific Medical Journal. :95-97
This clinical analysis is devoted to the case of exacerbation of ischemic heart disease in a 36-year-old man. A feature of this case is the combination of young age and obstructive coronary artery disease, as well as diagnostic search and analysis of
Publikováno v:
Кардиоваскулярная терапия и профилактика, Vol 19, Iss 1, Pp 99-105 (2020)
The review discusses an analysis of the literature on various aspects of the pathogenesis, diagnosis and treatment of vasospastic angina (VA). Data on the prevalence of coronary artery spasm (CAS) in various populations, as well as risk factors and t