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Temesgen Zewotir
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2020 – today
- 2025
- [j7]Getahun Mulugeta, Temesgen Zewotir, Awoke Seyoum Tegegne, Mahteme Bekele Muleta, Leja Hamza Juhar:
Developing clinical prognostic models to predict graft survival after renal transplantation: comparison of statistical and machine learning models. BMC Medical Informatics Decis. Mak. 25(1): 54 (2025) - 2024
- [j6]Adusei Bofa, Temesgen Zewotir:
Optimizing spatio-temporal correlation structures for modeling food security in Africa: a simulation-based investigation. BMC Bioinform. 25(1): 168 (2024) - [j5]Oduse Samuel, Temesgen Zewotir, Delia North:
Application of machine learning methods for predicting under-five mortality: analysis of Nigerian demographic health survey 2018 dataset. BMC Medical Informatics Decis. Mak. 24(1): 86 (2024) - [j4]Ashagrie Sharew Iyassu, Haile Mekonnen Fenta, Zelalem G. Dessie, Temesgen Zewotir:
Identification of confounders and estimating the causal effect of place of birth on age-specific childhood vaccination. BMC Medical Informatics Decis. Mak. 24(1): 406 (2024) - 2023
- [j3]Getahun Mulugeta
, Temesgen Zewotir, Awoke Seyoum Tegegne, Leja Hamza Juhar, Mahteme Bekele Muleta:
Classification of imbalanced data using machine learning algorithms to predict the risk of renal graft failures in Ethiopia. BMC Medical Informatics Decis. Mak. 23(1): 98 (2023) - 2021
- [j2]Haile Mekonnen Fenta
, Temesgen Zewotir, Essey Kebede Muluneh
:
A machine learning classifier approach for identifying the determinants of under-five child undernutrition in Ethiopian administrative zones. BMC Medical Informatics Decis. Mak. 21(1): 291 (2021)
2010 – 2019
- 2017
- [j1]Gillian M. Hendry, Temesgen Zewotir
, Rajen N. Naidoo
, Delia North:
The effect of the mechanism and amount of missingness on subset correspondence analysis. Commun. Stat. Simul. Comput. 46(9): 7100-7115 (2017)
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last updated on 2025-02-14 02:04 CET by the dblp team
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