Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Daria A. Savitskaya"'
Autor:
Alina Yu. Babenko, Daria A. Savitskaya, Yulia A. Kononova, Aleksandra Yu. Trofimova, Anna V. Simanenkova, Elena Yu. Vasilyeva, Evgeny V. Shlyakhto
Publikováno v:
Journal of Diabetes Research, Vol 2019 (2019)
Rationale. It is well known that diabetes mellitus (DM) exacerbates the mechanisms underlying atherosclerosis. Currently, glucagon-like peptide-1 receptor agonists (aGLP-1) have one of the most prominent cardioprotective effects among the antidiabeti
Externí odkaz:
https://doaj.org/article/a56a64bf6f124b21b32842eab08d6be7
Publikováno v:
Procedia Computer Science. 193:382-392
This paper suggests a probabilistic graphical models’ approach for finding optimal therapy. This approach is based on creating a network of dependencies using statistics of patient treatment. We used Bayesian networks for describing diabetes mellit
Publikováno v:
Studies in health technology and informatics. 287
We present a user acceptance study of a clinical decision support system (CDSS) for Type 2 Diabetes Mellitus (T2DM) risk prediction. We focus on how a combination of data-driven and rule-based models influence the efficiency and acceptance by doctors
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030504229
ICCS (4)
ICCS (4)
Thyrotoxicosis (TT) is associated with an increase in both total and cardiovascular mortality. One of the main thyrotoxicosis complications is Atrial Fibrillation (AF). Right AF predictors help medical personal prescribe the select patients with high
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c8ee1992a92781a9ae067c03e541c15d
https://doi.org/10.1007/978-3-030-50423-6_37
https://doi.org/10.1007/978-3-030-50423-6_37
Autor:
Sergey V. Kovalchuk, Georgy D. Kopanitsa, Ilia V. Derevitskii, Georgy A. Matveev, Daria A. Savitskaya
Publikováno v:
Journal of Biomedical Informatics. 127:104013
The paper presents an approach for building consistent and applicable clinical decision support systems (CDSSs) using a data-driven predictive model aimed at resolving the problem of low applicability and scalability of CDSSs in real-world applicatio
Autor:
Elena Yu Vasilyeva, Yulia A. Kononova, Daria A. Savitskaya, Aleksandra Yu Trofimova, Anna Simanenkova, Alina Babenko, Evgeny Shlyakhto
Publikováno v:
Journal of Diabetes Research, Vol 2019 (2019)
Journal of Diabetes Research
Journal of Diabetes Research
Rationale. It is well known that diabetes mellitus (DM) exacerbates the mechanisms underlying atherosclerosis. Currently, glucagon-like peptide-1 receptor agonists (aGLP-1) have one of the most prominent cardioprotective effects among the antidiabeti