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researcher

Tesfamariam M Abuhay

Smith School of Business at Queen's University

3 papers hereh-index 8225 citations21 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.DL1
  • cs.LG1
  • cs.SI1
affiliations
  • Smith School of Business at Queen's University

identity via Semantic Scholar / OpenAlex

activity
20172021
most citedWhy Machine Learning Integrated Patient Flow Simulation?

3 citations · 3 across the 3 of their papers we have counts for

collaborators

3 papers

cs.LG2021★ 3 cited

Why Machine Learning Integrated Patient Flow Simulation?

Tesfamariam M. Abuhay, Adane Mamuye, Stewart Robinson +1

Patient flow analysis can be studied from a clinical and or operational perspective using simulation. Traditional statistical methods such as stochastic distribution methods have b…

cs.SI2020

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

Tesfamariam M Abuhay, Yemisrach G Getinet, Oleg G Metsker +2

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 e…

cs.DL2017

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

Tesfamariam M. Abuhay, Sergey V. Kovalchuk, Klavdiya O. Bochenina +3

This paper presents results of topic modeling and network models of topics using the International Conference on Computational Science corpus, which contains domain-specific (compu…

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