Abraham K. Mengistu

Debre Markos, Ethiopia

Last Updated: 09/26/2026

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Found 21 publications

A machine learning analysis of perceived healthcare access barriers among women of reproductive age in Sub-Saharan Africa: using demographic and health surveys.

A machine learning analysis of perceived healthcare access barriers among women of reproductive age in Sub-Saharan Africa: using demographic and health surveys.

Journal: AJOG global reports

Published: August 11, 2026

Explainable machine learning for predicting childhood anemia in Sub-Saharan Africa using population-based DHS Data (2016-2024).

Explainable machine learning for predicting childhood anemia in Sub-Saharan Africa using population-based DHS Data (2016-2024).

Journal: PLOS global public health

Published: May 27, 2026

Utilization of Mobile Health and Its Associated Factors in Ethiopia: A Systematic Review.

Utilization of Mobile Health and Its Associated Factors in Ethiopia: A Systematic Review.

Journal: BioMed research international

Published: January 09, 2026

Utilization of Personal Protective Equipment and Its Determinants Among Health Care Professionals in Public Hospitals in Resource-Limited Settings.

Utilization of Personal Protective Equipment and Its Determinants Among Health Care Professionals in Public Hospitals in Resource-Limited Settings.

Journal: SAGE open nursing

Published: December 27, 2025

Predicting cervical cancer among women living with HIV/AIDS at public health facilities in a resource-limited setting in Ethiopia using machine learning analysis.

Predicting cervical cancer among women living with HIV/AIDS at public health facilities in a resource-limited setting in Ethiopia using machine learning analysis.

Journal: Discover oncology

Published: December 24, 2025

Machine learning-based classification of HIV viral load suppression in low-resource settings.

Machine learning-based classification of HIV viral load suppression in low-resource settings.

Journal: Digital health

Published: November 29, 2025

Modeling and forecasting neonatal mortality in Ethiopia: a comparative study using statistical, machine learning, and deep learning approaches.

Modeling and forecasting neonatal mortality in Ethiopia: a comparative study using statistical, machine learning, and deep learning approaches.

Journal: Archives of public health = Archives belges de sante publique

Published: October 22, 2025

Predicting early infant diagnosis (EID) results for HIV exposed infants in a resource-limited setting using machine learning models: evidence from Amhara Public Health Institute data (2024/2025).

Predicting early infant diagnosis (EID) results for HIV exposed infants in a resource-limited setting using machine learning models: evidence from Amhara Public Health Institute data (2024/2025).

Journal: BMC infectious diseases

Published: October 18, 2025

Applying Machine learning to analyze the utilization of insecticide-treated nets among rural under-five children in East Africa.

Applying Machine learning to analyze the utilization of insecticide-treated nets among rural under-five children in East Africa.

Journal: Parasite epidemiology and control

Published: September 20, 2025

Machine learning to examine adequate awareness and positive perception of HIV pre-exposure prophylaxis among women in sub-Saharan Africa: evidence from 2021-2024 surveys.

Machine learning to examine adequate awareness and positive perception of HIV pre-exposure prophylaxis among women in sub-Saharan Africa: evidence from 2021-2024 surveys.

Journal: BMC infectious diseases

Published: September 11, 2025

Machine Learning (ML) Algorithm to Predict Mortality of Trauma Patients Admitted to the Intensive Care Units (ICU) in Northwest Ethiopia.

Machine Learning (ML) Algorithm to Predict Mortality of Trauma Patients Admitted to the Intensive Care Units (ICU) in Northwest Ethiopia.

Journal: Nursing in critical care

Published: June 20, 2025

Application of causal forest double machine learning (DML) approach to assess tuberculosis preventive therapy's impact on ART adherence.

Application of causal forest double machine learning (DML) approach to assess tuberculosis preventive therapy's impact on ART adherence.

Journal: Scientific reports

Published: June 09, 2025

Showing 1-12 of 21

Last Updated: 09/26/2026