Tesfamariam M. Abuhay

17 papers Misc 2Journal 10Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
Applications and challenges of simulation for healthcare operations management in Africa.
J. Oper. Res. Soc.
Tesfamariam M. Abuhay, Mihret W. Tereda, Lomi E. Adane, Malefia D. Melesse, Stewart Robinson
2025 J jnl
Evolution of the computational science community: The dynamics of topics and collaborations in 24 years of ICCS and JoCS publications.
J. Comput. Sci.
Lijing Luo, Klavdiya Bochenina, Tesfamariam M. Abuhay, Nachyn Dorzhu, George Kampis, Sergey V. Kovalchuk, Valeria V. Krzhizhanovskaya, Maciej Paszynski, Clélia de Mulatier, Jack J. Dongarra, Peter M. A. Sloot
2024 — conf
Large Language Models for Sexual, Reproductive, and Maternal Health Rights.
ICHI
Walelign Tewabe Sewunetie, Assefa Beza, Hailemariam Abebe, Tesfamariam M. Abuhay, Wasyihun Sema Admass, Hayat Hassen, Tsion Haile, Hana Hailemariam, Lydia Debebe, Nurlign Moges, Nathnael Bekele, Surafel Luleseged Tilahun, Mahlet Berta, Mahlet Mammo, Seid Muhie Yimam, Kovacs László
2023 J jnl
Machine learning integrated patient flow simulation: why and how?
J. Simulation
Tesfamariam M. Abuhay, Stewart Robinson, Adane Letta Mamuye, Sergey V. Kovalchuk
2022 J jnl
Predicting perinatal mortality based on maternal health status and health insurance service using homogeneous ensemble machine learning methods.
BMC Medical Informatics Decis. Mak.
Dawit Shibabaw Bogale, Tesfamariam M. Abuhay, Belayneh Endalamaw Dejene
2022 J jnl
Predicting the level of anemia among Ethiopian pregnant women using homogeneous ensemble machine learning algorithm.
BMC Medical Informatics Decis. Mak.
Belayneh Endalamaw Dejene, Tesfamariam M. Abuhay, Dawit Shibabaw Bogale
2021 — conf
Identifying Risk Factors and Predicting Food Security Status using Supervised Machine Learning Techniques.
ICT4DA
Melaku Alelign, Tesfamariam M. Abuhay, Adane Letta, Tizita Dereje
2021 — conf
Investigate Risk Factors and Predict Neonatal and Infant Mortality Based on Maternal Determinants using Homogenous Ensemble Methods.
ICT4DA
Tizita Dereje, Tesfamariam M. Abuhay, Adane Letta, Melaku Alelign
2021 J jnl
Why Machine Learning Integrated Patient Flow Simulation?
CoRR
Tesfamariam M. Abuhay, Adane Letta Mamuye, Stewart Robinson, Sergey V. Kovalchuk
2020 — conf
Constructing Holistic Patient Flow Simulation Using System Approach.
ICCS (4)
Tesfamariam M. Abuhay, Oleg G. Metsker, Aleksey N. Yakovlev, Sergey V. Kovalchuk
2020 — conf
Investigating Coordination of Hospital Departments in Delivering Healthcare for Acute Coronary Syndrome Patients Using Data-Driven Network Analysis.
ICCS (4)
Tesfamariam M. Abuhay, Yemisrach G. Nigatie, Oleg G. Metsker, Aleksey N. Yakovlev, Sergey V. Kovalchuk
2020 J jnl
Investigating Coordination of Hospital Departments in Delivering Healthcare for Acute Coronary Syndrome Patients using Data-Driven Network Analysis.
CoRR
Tesfamariam M. Abuhay, Yemisrach G. Getinet, Oleg G. Metsker, Alexey N. Yakovlev, Sergey V. Kovalchuk
2018 J jnl
Analysis of publication activity of computational science society in 2001-2017 using topic modelling and graph theory.
J. Comput. Sci.
Tesfamariam M. Abuhay, Sergey V. Kovalchuk, Klavdiya Bochenina, Gali-Ketema Mbogo, Alexander A. Visheratin, George Kampis, Valeria V. Krzhizhanovskaya, Michael Harold Lees
2017 Misc conf
Analysis of Computational Science Papers from ICCS 2001-2016 using Topic Modeling and Graph Theory.
ICCS
Tesfamariam M. Abuhay, Sergey V. Kovalchuk, Klavdiya O. Bochenina, George Kampis, Valeria V. Krzhizhanovskaya, Michael Harold Lees
2017 J jnl
Analysis of Computational Science Papers from ICCS 2001-2016 using Topic Modeling and Graph Theory.
CoRR
Tesfamariam M. Abuhay, Sergey V. Kovalchuk, Klavdiya O. Bochenina, George Kampis, Valeria V. Krzhizhanovskaya, Michael Harold Lees
2017 J jnl
Data through the Computational Lens.
J. Comput. Sci.
Sergey V. Kovalchuk, Tesfamariam M. Abuhay, Ilkay Altintas, Michael L. Norman, Michael Harold Lees, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot
2016 Misc conf
Complex Data-driven Predictive Modeling in Personalized Clinical Decision Support for Acute Coronary Syndrome Episodes.
ICCS
Alexey V. Krikunov, Ekaterina V. Bolgova, Evgeniy Krotov, Tesfamariam M. Abuhay, Alexey N. Yakovlev, Sergey V. Kovalchuk