Tesfamariam M. Abuhay

According to our database, Tesfamariam M. Abuhay authored at least 13 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Machine learning integrated patient flow simulation: why and how?

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

J. Simulation, September, 2023

2022

Predicting the level of anemia among Ethiopian pregnant women using homogeneous ensemble machine learning algorithm.

Belayneh Endalamaw Dejene, Tesfamariam M. Abuhay, Dawit Shibabaw Bogale

BMC Medical Informatics Decis. Mak., 2022

Predicting perinatal mortality based on maternal health status and health insurance service using homogeneous ensemble machine learning methods.

Dawit Shibabaw Bogale, Tesfamariam M. Abuhay, Belayneh Endalamaw Dejene

BMC Medical Informatics Decis. Mak., 2022

2021

Why Machine Learning Integrated Patient Flow Simulation?

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

CoRR, 2021

Investigate Risk Factors and Predict Neonatal and Infant Mortality Based on Maternal Determinants using Homogenous Ensemble Methods.

Tizita Dereje, Tesfamariam M. Abuhay, Adane Letta, Melaku Alelign

Proceedings of the International Conference on Information and Communication Technology for Development for Africa, 2021

Identifying Risk Factors and Predicting Food Security Status using Supervised Machine Learning Techniques.

Melaku Alelign, Tesfamariam M. Abuhay, Adane Letta, Tizita Dereje

Proceedings of the International Conference on Information and Communication Technology for Development for Africa, 2021

2020

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, Alexey N. Yakovlev, Sergey V. Kovalchuk

CoRR, 2020

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

Tesfamariam M. Abuhay, Yemisrach G. Nigatie, Oleg G. Metsker, Aleksey N. Yakovlev, Sergey V. Kovalchuk

Proceedings of the Computational Science - ICCS 2020, 2020

Constructing Holistic Patient Flow Simulation Using System Approach.

Tesfamariam M. Abuhay, Oleg G. Metsker, Aleksey N. Yakovlev, Sergey V. Kovalchuk

Proceedings of the Computational Science - ICCS 2020, 2020

2018

Analysis of publication activity of computational science society in 2001-2017 using topic modelling and graph theory.

Tesfamariam M. Abuhay, Sergey V. Kovalchuk, Klavdiya Bochenina, Gali-Ketema Mbogo, Alexander A. Visheratin, George Kampis, Valeria V. Krzhizhanovskaya, Michael Harold Lees

J. Comput. Sci., 2018

2017

Data through the Computational Lens.

Sergey V. Kovalchuk, Tesfamariam M. Abuhay, Ilkay Altintas, Michael L. Norman, Michael Harold Lees, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot

J. Comput. Sci., 2017

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

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

Proceedings of the International Conference on Computational Science, 2017

2016

Complex Data-driven Predictive Modeling in Personalized Clinical Decision Support for Acute Coronary Syndrome Episodes.

Alexey V. Krikunov, Ekaterina V. Bolgova, Evgeniy Krotov, Tesfamariam M. Abuhay, Alexey N. Yakovlev, Sergey V. Kovalchuk

Proceedings of the International Conference on Computational Science 2016, 2016