Author

Getahun Mulugeta

Observed names: Getahun Awoke, Getahun Mulugeta Awoke

Institutions: Debre Berhan University, St. Paul's Hospital Millennium Medical College, Bahir Dar University

Observed institutions: Debre Berhan University, St. Paul's Hospital Millennium Medical College, Bahir Dar University

ORCID: 0000-0001-7181-3664

Observed ORCID: 0000-0001-7181-3664

OpenAlex ID: A5089991991

Classification of imbalanced data using machine learning algorithms to predict the risk of renal graft failures in Ethiopia

2023 · Getahun Mulugeta, Temesgen Zewotir, et al. · BMC Medical Informatics and Decision Making · 36

Developing clinical prognostic models to predict graft survival after renal transplantation: comparison of statistical and machine learning models

2025 · Getahun Mulugeta, Temesgen Zewotir, et al. · BMC Medical Informatics and Decision Making · 7

Predictors for the duration of breastfeeding among ethiopia women of childbearing age with babies; application of accelerate failure time and parametric shared frailty models

2022 · Getahun Mulugeta, Dagne Tesfaye, et al. · BMC Nutrition · 7

Identifying Factors for Marriage Breakdown at Debre Birhan Town of Ethiopia: Logistic and Survival Analysis

2015 · Getahun Mulugeta · American Journal of Theoretical and Applied Statistics · 1

P3.516: Developing clinical prognostic models to predict graft survival after renal transplantation: Comparison of statistical and machine learning models.

2026 · Getahun Awoke, Mahteme Bekele Muleta, et al. · Transplantation

P3.515: Advancing prognostic models for competing risks in renal transplant outcomes: A comparative study of statistical and machine learning approaches.

2026 · Getahun Awoke, mahteme Bekele Muleta, et al. · Transplantation

Wcn26-2501 Advancing Prognostic Models for Competing Risks in Renal Transplant Outcomes: a Comparative Study of Statistical and Machine Learning Approaches

2026 · Getahun Mulugeta Awoke, Temesgen Zewotir, et al. · Kidney International Reports

Wcn26-2500 Developing Clinical Prognostic Models to Predict Graft Survival After Renal Transplantation: Comparison of Statistical and Machine Learning Models

2026 · Temesgen Zewotir, Awoke Seyoum Tegegne, et al. · Kidney International Reports

Teenage pregnancy and its associated factors through COVID-19 in East Africa: Systematic review and meta-analysis

2026 · Aragaw Asfaw Hasen, Abubeker Alebachew Seid, et al. · Medicine

Employee’s Job Satisfaction and Supervisors Performance at Debre Berhan University

2018 · Getahun Mulugeta · American Journal of Theoretical and Applied Statistics

Works count: 11

Citation count: 51

H-index: 3

I10-index: 1