Zobrazeno 1 - 8
of 8
pro vyhledávání: '"I. N. Korsakov"'
Autor:
T. L. Karonova, I. N. Korsakov, A. A. Mikhailova, D. I. Lagutina, A. T. Chernikova, М. A. Vashukova, M. A. Smolnikova, D. A. Gusev, A. O. Konradi, E. V. Shlyakhto
Publikováno v:
Журнал инфектологии, Vol 15, Iss 3, Pp 60-66 (2023)
Aim. To create algorithm and risk calculator for predicting the lethal outcome in patients with COVID-19.Materials and methods. Based on machine learning approach mortality risk calculator was developed in Almazov National Medical Research Centre usi
Externí odkaz:
https://doaj.org/article/a83f708c24d8444ca11eb042def0b58a
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
Autor:
I. A. Smyshlyaev, S. I. Gilfanov, V. A. Kopylov, R. G. Gilmutdinov, I. I. Pulin, I. N. Korsakov, I. R. Gilmutdinova, A. P. Petrikina, P. S. Eremin, O. V. Kruchkova, V. P. Abeltsev, N. V. Zagorodniy, V. L. Zorin, V. S. Vasilyev, D. Yu. Pupynin, I. I. Eremin
Publikováno v:
Travmatologiâ i Ortopediâ Rossii, Vol 23, Iss 3, Pp 17-31 (2017)
The incidence of knee osteoarthritis tends to increase every year and constitutes more than 83% of overall OA morbidity. Moreover, the OA morbidity among younger patients is also increasing. However, currently available treatment methods do not provi
Externí odkaz:
https://doaj.org/article/732b1e21a8c6456997f945c4cffbc5cc
Publikováno v:
Journal of Telemedicine and E-Health. 4:85-90
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c9cb00092cf90e2b90489d53cc805dbd
https://doi.org/10.29188/2542-2413-2018-4-3-85-90
https://doi.org/10.29188/2542-2413-2018-4-3-85-90
Publikováno v:
Problemy sotsial'noi gigieny, zdravookhraneniia i istorii meditsiny. (6)
The article considers issues of necessity of development and implementation of mobile application of patient within the framework of automated system of remote monitoring of human health indicators as a mean of increasing quality of medical care of p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::25fe2393d69120fb2e6036a465df2907
https://pubmed.ncbi.nlm.nih.gov/27116839
https://pubmed.ncbi.nlm.nih.gov/27116839
Publikováno v:
Eksperimental'naia i klinicheskaia gastroenterologiia = Experimentalclinical gastroenterology. (9)
Study preoperative and intraoperative risk factors for acute postoperative pancreatitis after surgical treatment of the pancreatic diseases.Predictive value of the probable preoperative and intraoperative risk factors of the acute postoperative pancr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::18f855b7fc584d7d3c238e9fca6e47cf
https://pubmed.ncbi.nlm.nih.gov/25916137
https://pubmed.ncbi.nlm.nih.gov/25916137
Publikováno v:
Eksperimental'naia i klinicheskaia gastroenterologiia = Experimentalclinical gastroenterology. (6)
In experiments on dogs the exocrine secretion of pancreatic segment graft after its autotransplantation and of pancreatic stamps after proximal resection of the pancreas was investigated. More significant impairment of the exocrine secretion of the p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::664953591718a0e06d45528e3631d1c1
https://pubmed.ncbi.nlm.nih.gov/24772865
https://pubmed.ncbi.nlm.nih.gov/24772865
Publikováno v:
Eksperimental'naia i klinicheskaia gastroenterologiia = Experimentalclinical gastroenterology. (6)
Dynamics of cholecystokinin-like, secretin and somatostatin immunoreactivity of blood plasma and extracts of duodenal mucosa, frequency of acute pancreatitis (AP) after the resection of the duodenum was studied on not purebred dogs. Rising of a secre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::edb13ae2aa85f34c8e0fa933359e17ec
https://pubmed.ncbi.nlm.nih.gov/18418921
https://pubmed.ncbi.nlm.nih.gov/18418921