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ORCIDTesfamariam M. Abuhay
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2020 – today
- 2024
[c7]Walelign Tewabe Sewunetie, Assefa Beza, Hailemariam Abebe, Tesfamariam M. Abuhay, Wasyihun 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:
Large Language Models for Sexual, Reproductive, and Maternal Health Rights. ICHI 2024: 568-573- 2023
- [j5]Tesfamariam M. Abuhay
, Stewart Robinson, Adane Letta Mamuye, Sergey V. Kovalchuk:
Machine learning integrated patient flow simulation: why and how? J. Simulation 17(5): 580-593 (2023) - 2022
- [j4]Belayneh Endalamaw Dejene, Tesfamariam M. Abuhay, Dawit Shibabaw Bogale:
Predicting the level of anemia among Ethiopian pregnant women using homogeneous ensemble machine learning algorithm. BMC Medical Informatics Decis. Mak. 22(1): 247 (2022) - [j3]Dawit Shibabaw Bogale, Tesfamariam M. Abuhay, Belayneh Endalamaw Dejene:
Predicting perinatal mortality based on maternal health status and health insurance service using homogeneous ensemble machine learning methods. BMC Medical Informatics Decis. Mak. 22(1): 341 (2022) - 2021
- [c6]Melaku Alelign, Tesfamariam M. Abuhay, Adane Letta, Tizita Dereje:
Identifying Risk Factors and Predicting Food Security Status using Supervised Machine Learning Techniques. ICT4DA 2021: 12-17 - [c5]Tizita Dereje, Tesfamariam M. Abuhay, Adane Letta, Melaku Alelign:
Investigate Risk Factors and Predict Neonatal and Infant Mortality Based on Maternal Determinants using Homogenous Ensemble Methods. ICT4DA 2021: 18-23 - [i3]Tesfamariam M. Abuhay, Adane Letta Mamuye, Stewart Robinson, Sergey V. Kovalchuk:
Why Machine Learning Integrated Patient Flow Simulation? CoRR abs/2104.08203 (2021) - 2020
- [c4]Tesfamariam M. Abuhay, Oleg G. Metsker, Aleksey N. Yakovlev, Sergey V. Kovalchuk:
Constructing Holistic Patient Flow Simulation Using System Approach. ICCS (4) 2020: 418-429 - [c3]Tesfamariam M. Abuhay, Yemisrach G. Nigatie, Oleg G. Metsker, Aleksey N. Yakovlev, Sergey V. Kovalchuk:
Investigating Coordination of Hospital Departments in Delivering Healthcare for Acute Coronary Syndrome Patients Using Data-Driven Network Analysis. ICCS (4) 2020: 430-440 - [i2]Tesfamariam M. Abuhay, Yemisrach G. Getinet, Oleg G. Metsker, Alexey N. Yakovlev, Sergey V. Kovalchuk:
Investigating Coordination of Hospital Departments in Delivering Healthcare for Acute Coronary Syndrome Patients using Data-Driven Network Analysis. CoRR abs/2004.09290 (2020)
2010 – 2019
- 2018
- [j2]Tesfamariam M. Abuhay, Sergey V. Kovalchuk, Klavdiya Bochenina, Gali-Ketema Mbogo, Alexander A. Visheratin, George Kampis, Valeria V. Krzhizhanovskaya, Michael Harold Lees:
Analysis of publication activity of computational science society in 2001-2017 using topic modelling and graph theory. J. Comput. Sci. 26: 193-204 (2018) - 2017
- [j1]Sergey V. Kovalchuk, Tesfamariam M. Abuhay, Ilkay Altintas, Michael L. Norman, Michael Harold Lees, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot:
Data through the Computational Lens. J. Comput. Sci. 20: 81-84 (2017) - [c2]Tesfamariam M. Abuhay, Sergey V. Kovalchuk, Klavdiya O. Bochenina, George Kampis, Valeria V. Krzhizhanovskaya, Michael Harold Lees:
Analysis of Computational Science Papers from ICCS 2001-2016 using Topic Modeling and Graph Theory. ICCS 2017: 7-17 - [i1]Tesfamariam M. Abuhay, Sergey V. Kovalchuk, Klavdiya O. Bochenina, George Kampis, Valeria V. Krzhizhanovskaya, Michael Harold Lees:
Analysis of Computational Science Papers from ICCS 2001-2016 using Topic Modeling and Graph Theory. CoRR abs/1705.02203 (2017) - 2016
- [c1]Alexey V. Krikunov, Ekaterina V. Bolgova, Evgeniy Krotov, Tesfamariam M. Abuhay, Alexey N. Yakovlev, Sergey V. Kovalchuk:
Complex Data-driven Predictive Modeling in Personalized Clinical Decision Support for Acute Coronary Syndrome Episodes. ICCS 2016: 518-529
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