Výsledky vyhledávání - "Abuhay, Tesfamariam M."

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Why Machine Learning Integrated Patient Flow Simulation?

Autor: Abuhay, Tesfamariam M., Mamuye, Adane, Robinson, Stewart, Kovalchuk, Sergey V.

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

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Investigating Coordination of Hospital Departments in Delivering Healthcare for Acute Coronary Syndrome Patients using Data-Driven Network Analysis

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

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Analysis of Computational Science Papers from ICCS 2001-2016 using Topic Modeling and Graph Theory

Autor: Abuhay, Tesfamariam M., Kovalchuk, Sergey V., Bochenina, Klavdiya O., Kampis, George, Krzhizhanovskaya, Valeria V., Lees, Michael H.

This paper presents results of topic modeling and network models of topics using the International Conference on Computational Science corpus, which contains domain-specific (computational science) papers over sixteen years (a total of 5695 papers).

Externí odkaz: http://arxiv.org/abs/1705.02203

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