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Tesfamariam Mulugeta Abuhay
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Complex data-driven predictive modeling in personalized clinical decision support for Acute Coronary Syndrome episodes
AV Krikunov, EV Bolgova, E Krotov, TM Abuhay, AN Yakovlev, ...
Procedia Computer Science 80, 518-529, 2016
272016
Analysis of publication activity of computational science society in 2001–2017 using topic modelling and graph theory
TM Abuhay, SV Kovalchuk, K Bochenina, GK Mbogo, AA Visheratin, ...
Journal of computational science 26, 193-204, 2018
252018
Towards predicting trend of scientific research topics using topic modeling
TM Abuhay, YG Nigatie, SV Kovalchuk
Procedia Computer Science 136, 304-310, 2018
132018
Simulation of patient flow and load of departments in a specialized medical center
TM Abuhay, AV Krikunov, EV Bolgova, LG Ratova, SV Kovalchuk
Procedia Computer Science 101, 143-151, 2016
132016
Analysis of computational science papers from iccs 2001-2016 using topic modeling and graph theory
TM Abuhay, SV Kovalchuk, KO Bochenina, G Kampis, ...
Procedia Computer Science 108, 7-17, 2017
112017
Integrating Data Mining Results with the Knowledge Based System for Diagnosis and Treatment of Visceral Leishmaniasis
TM Abuhay, TB Tesema
International Journal of Advanced Research in Computer Science and Software …, 2015
8*2015
Data through the computational lens
SV Kovalchuk, TM Abuhay, I Altintas, ML Norman, MH Lees, ...
Journal of Computational Science 20, 81-84, 2017
62017
Constructing Holistic Patient Flow Simulation Using System Approach
TM Abuhay, OG Metsker, AN Yakovlev, SV Kovalchuk
International Conference on Computational Science, 418-429, 2020
12020
Моделирование, анализ и прогнозирование процессов оказания кардиологической помощи в стационаре
ТМ Абухай, СВ Ковальчук, МА Балахонцева, АВ Бухановский
Известия высших учебных заведений. Приборостроение 61 (8), 730-733, 2018
12018
Investigating Application of Change Point Analysis in Monitoring Health Condition of Acute Coronary Syndrome Patients
TM Abuhay, YG Nigatie, OG Metsker, SV Kovalchuk
Procedia Computer Science 136, 408-415, 2018
12018
Predicting Perinatal Mortality Based on Maternal Health Status and Health Insurance Service using Homogeneous Ensemble Machine Learning Methods
DS Bogale, TM Abuhay, BE Dejene
2022
Predicting the Level of Anemia among Ethiopian Pregnant Women using Homogeneous Ensemble Machine Learning Algorithm
BE Dejene, TM Abuhay, DS Bogale
2022
Predicting the Level of Anemia among Ethiopian Pregnant Women using Homogeneous Ensemble Machine Learning Algorithm
B Endalamaw, TM Abuhay, D Shibabaw
Proceeding of the 2 nd Deep Learning Indaba-X Ethiopia Conference 2021, 2022
2022
Predicting Perinatal Mortality Based on Maternal Health Status and Health Insurance Service using Homogeneous Ensemble Machine Learning Methods and Deploy model
D Shibabaw, TM Abuhay, B Endalamawe, S Rajkumar, V Ellappan, ...
Proceeding of the 2 nd Deep Learning Indaba-X Ethiopia Conference 2021, 2022
2022
Investigate Risk Factors and Predict Neonatal and Infant Mortality Based on Maternal Determinants using Homogenous Ensemble Methods
T Dereje, TM Abuhay, A Letta, M Alelign
2021 International Conference on Information and Communication Technology …, 2021
2021
Identifying Risk Factors and Predicting Food Security Status using Supervised Machine Learning Techniques
M Alelign, TM Abuhay, A Letta, T Dereje
2021 International Conference on Information and Communication Technology …, 2021
2021
Why Machine Learning Integrated Patient Flow Simulation?
TM Abuhay, A Mamuye, S Robinson, SV Kovalchuk
arXiv preprint arXiv:2104.08203, 2021
2021
OPERATIONAL RESEARCH SOCIETY 10TH SIMULATION WORKSHOP, SW 2021-PROCEEDINGS
TM Abuhay, SL Robinson, AL Mamuye, SV Kovalchuk
2021
Investigating Coordination of Hospital Departments in Delivering Healthcare for Acute Coronary Syndrome Patients using Data-Driven Network Analysis
TM Abuhay, YG Nigatie, OG Metsker, AN Yakovlev, SV Kovalchuk
International Conference on Computational Science, 430-440, 2020
2020
SIMULATION, ANALYSIS, AND PREDICTION OF MEDICAL CARE PROCESSES FOR CARDIOLOGICAL IN-PATIENTS
TM Abuhay, SV Kovalchuk, MA Balakhontceva, AV Boukhanovsky
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Articles 1–20