Zobrazeno 1 - 10
of 151
pro vyhledávání: '"Kovalchuk, Sergey V."'
The article proposes a universal dual-axis intelligent systems assessment scale. The scale considers the properties of intelligent systems within the environmental context, which develops over time. In contrast to the frequent consideration of the 'm
Externí odkaz:
http://arxiv.org/abs/2209.11761
Autor:
Elkhovskaya, Liubov O., Kshenin, Alexander D., Balakhontceva, Marina A., Kovalchuk, Sergey V.
Within Process mining, discovery techniques had made it possible to construct business process models automatically from event logs. However, results often do not achieve the balance between model complexity and its fitting accuracy, so there is a ne
Externí odkaz:
http://arxiv.org/abs/2206.06111
Publikováno v:
Proceedings of the Operational Research Society Simulation Workshop 2021 (SW21)
Patient flow analysis can be studied from a clinical and or operational perspective using simulation. Traditional statistical methods such as stochastic distribution methods have been used to construct patient flow simulation submodels such as patien
Externí odkaz:
http://arxiv.org/abs/2104.08203
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
Externí odkaz:
http://arxiv.org/abs/2007.12870
Autor:
Abuhay, Tesfamariam M, Getinet, Yemisrach G, Metsker, Oleg G, Yakovlev, Alexey N, Kovalchuk, Sergey V
Healthcare systems are challenged to deliver high-quality and efficient care. Studying patient flow in a hospital is particularly fundamental as it demonstrates effectiveness and efficiency of a hospital. Since hospital is a collection of physically
Externí odkaz:
http://arxiv.org/abs/2004.09290
The paper proposes and investigates an approach for surrogate-assisted performance prediction of data-driven knowledge discovery algorithms. The approach is based on the identification of surrogate models for prediction of the target algorithm's qual
Externí odkaz:
http://arxiv.org/abs/2004.01123
Thyrotoxicosis (TT) is associated with an increase in both total and cardiovascu-lar mortality. One of the main thyrotoxicosis risks is Atrial Fibrillation (AF). Right AF predicts help medical personal prescribe the correct medicaments and correct su
Externí odkaz:
http://arxiv.org/abs/2002.12632
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Kovalchuk, Sergey V., Metsker, Oleg G., Funkner, Anastasia A., Kisliakovskii, Ilia O., Nikitin, Nikolay O., Kalyuzhnaya, Anna V., Vaganov, Danila A., Bochenina, Klavdiya O.
Complex systems' modeling and simulation are powerful ways to investigate a multitude of natural phenomena providing extended knowledge on their structure and behavior. However, enhanced modeling and simulation require integration of various data and
Externí odkaz:
http://arxiv.org/abs/1809.04656
Autor:
Kubryak, Oleg V.1,2 (AUTHOR) kubriakov@mpei.ru, Kovalchuk, Sergey V.3 (AUTHOR) kovalchuk@itmo.ru, Bagdasaryan, Nadezhda G.4 (AUTHOR) bagdasaryan@bmstu.ru
Publikováno v:
Philosophies. Oct2023, Vol. 8 Issue 5, p75. 17p.
