Zobrazeno 1 - 10
of 107
pro vyhledávání: '"D A Gavrilov"'
Publikováno v:
Сахарный диабет, Vol 27, Iss 2, Pp 142-157 (2024)
BACKGROUND: The incidence of diabetes mellitus (DM) both in the Russian Federation and in the world has been steadily increasing for several decades. Stable population growth and current epidemiological characteristics of DM lead to enormous economic
Externí odkaz:
https://doaj.org/article/c7c1a763db12407c971f6e261f7cc6ef
Publikováno v:
Российский кардиологический журнал, Vol 29, Iss 4 (2024)
Aim. To develop and validate a machine learning model designed to identify suspected pulmonary embolism (PE) based on various clinical features from electronic health records (EHRs) of out- and inpatients.Material and methods. Data from 19730 patient
Externí odkaz:
https://doaj.org/article/024ab5b49eed4f4b87b01853b0445f24
Publikováno v:
Российский кардиологический журнал, Vol 28, Iss 12 (2023)
Aim. To evaluate the effectiveness of acetylsalicylic acid (ASA) drugs for secondary prevention of atherosclerotic cardiovascular disease (ASCVD) in clinical practice and compare the effectiveness of the Cardiomagnyl with other ASA drugs.Material and
Externí odkaz:
https://doaj.org/article/4d8576ffff5c48c194a3cdf7a6bb03f2
Autor:
M. A. Druzhilov, T. Yu. Kuznetsova, O. Yu. Druzhilova, M. K. Tsarkova, D. V. Gavrilov, A. V. Gusev
Publikováno v:
Российский кардиологический журнал, Vol 28, Iss 5 (2023)
Aim. To estimate the prevalence of ischemic stroke (IS) and the appointment of anticoagulant therapy in patients with atrial fibrillation (AF) depending on body mass index (BMI) as part of a retrospective analysis of big data from certain subjects of
Externí odkaz:
https://doaj.org/article/d08ff2794c0544838ff2a07ab823b8a4
Autor:
M. A. Druzhilov, T. Yu. Kuznetsova, O. Yu. Druzhilova, U. D. Arustamova, D. V. Gavrilov, A. V. Gusev
Publikováno v:
Кардиоваскулярная терапия и профилактика, Vol 22, Iss 4 (2023)
Aim. To compare clinical characteristics of patients with atrial fibrillation (AF) depending on renal filtration function based on a retrospective analysis of data in individual subjects of the Russian Federation (RF).Material and methods. The inform
Externí odkaz:
https://doaj.org/article/9e489e0b24f34d7aa67cd018d0e85511
Publikováno v:
Фармация и фармакология (Пятигорск), Vol 10, Iss 1, Pp 69-81 (2022)
The creation of drugs with an anxiolytic activity, which do not have the main side effects characteristic of drugs of this group, is an important and socially significant task. For its implementation, within the framework of the development of an ori
Externí odkaz:
https://doaj.org/article/f56b1729924343dbac10034752018a3d
Publikováno v:
Кардиоваскулярная терапия и профилактика, Vol 22, Iss 2 (2023)
Aim. To evaluate the clinical characteristics and frequency of prescribed anticoagulant therapy for patients with atrial fibrillation (AF) and heart failure (HF) in subjects of the Russian Federation based on a retrospective big data analysis using a
Externí odkaz:
https://doaj.org/article/8ca5380dab384e5e99e720d25b4374a3
Publikováno v:
Фармакоэкономика, Vol 14, Iss 3, Pp 342-356 (2021)
Background. Prediction of the new coronavirus infection (COVID-19) spread is important to take timely measures and initiate systemic preventive and anti-epidemic actions both at the regional and state levels to reduce morbidity and mortality.Objectiv
Externí odkaz:
https://doaj.org/article/43e1b999fc5246b6a620fe4f2e5746ce
Publikováno v:
Кардиоваскулярная терапия и профилактика, Vol 21, Iss 7 (2022)
Aim. Comparative analysis of mathematical models obtained using multivariate logistic regression (MLR) with stepwise inclusion of predictors and machine learning (ML) for assessing the probability of subclinical carotid atherosclerosis in normotensiv
Externí odkaz:
https://doaj.org/article/94c16e27188744009653fb239331bfd0
Publikováno v:
Российский кардиологический журнал, Vol 27, Iss 4 (2022)
Aim. To develop a model for predicting the subclinical carotid atherosclerosis (SCA) in order to refine cardiovascular risk (CVR) using machine learning methods in overweight and obese patients without hypertension, diabetes and/or cardiovascular dis
Externí odkaz:
https://doaj.org/article/c6c682dd1a484726bcbf3df131ffa688