AIMC Topic: Ethiopia

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

Scientific reports Aug 9, 2025
Adherence to antiretroviral therapy (ART) is critical for HIV treatment success, yet the impact of tuberculosis preventive therapy (TPT) remains inadequately understood. Using observational data from 4152 HIV patients in Ethiopia (2005-2024), we appl...
Female Adult Male Humans Machine Learning Medication Adherence Ethiopia Antitubercular Agents Tuberculosis Middle Aged HIV Infections Anti-HIV Agents
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Predicting stunting status among under five children in ethiopia using ensemblemachine learning algorithms.

Scientific reports Jul 31, 2025
Childhood stunting is a persistent public health challenge in Ethiopia, significantly impacting children's physical growth, cognitive development, and overall well-being. This study overcame a key limitation in previous stunting prediction models by ...
Ethiopia Algorithms Female Risk Factors Growth Disorders Child, Preschool Male Infant Humans Machine Learning
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Forecasting birth trends in Ethiopia using time-series and machine-learning models: a secondary data analysis of EDHS surveys (2000-2019).

BMJ open Jul 16, 2025
OBJECTIVE: Ethiopia, the second most populous country in Africa, faces significant demographic transitions, with fertility rates playing a central role in shaping economic and healthcare policies. Family planning programmes face challenges due to fun...
Female Young Adult Adult Adolescent Humans Machine Learning Forecasting Secondary Data Analysis Health Surveys Ethiopia Birth Rate
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Predicting antiretroviral therapy adherence status of adult HIV-positive patients using machine-learning Northwest, Ethiopia, 2025.

BMC medical informatics and decision making Jul 10, 2025
BACKGROUND: Adherence with Anti-Retroviral Therapy (ART) reduces viral load, as well as HIV-related morbidity and mortality. Despite the expanded availability of ART, non-adherence remains a series problem, leads increased viral load, a decline CD4 c...
Medication Adherence Ethiopia Anti-Retroviral Agents Male Middle Aged HIV Infections Humans Young Adult Adult Machine Learning Female
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Understanding the determinants of treated bed net use in Ethiopia: A machine learning classification approach using PMA Ethiopia 2023 survey data.

PloS one Jul 7, 2025
INTRODUCTION: Malaria remains a significant public health challenge in Ethiopia, with over 7.3 million cases and 1,157 deaths reported between January 1 and October 20, 2024. Despite extensive distribution campaigns, 35% of insecticide-treated nets (...
Mosquito Control Insecticide-Treated Bednets Ethiopia Family Characteristics Malaria Surveys and Questionnaires Logistic Models Socioeconomic Factors Humans Machine Learning Male Middle Aged Female Adult
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Predicting car accident severity in Northwest Ethiopia: a machine learning approach leveraging driver, environmental, and road conditions.

Scientific reports Jul 1, 2025
Road traffic accidents (RTAs) in Northwest Ethiopia, a region with a fatality rate of 32.2 per 100,000 residents, pose a critical public health challenge exacerbated by infrastructural deficits and environmental hazards. This study leverages machine ...
Female Young Adult Humans Machine Learning Automobile Driving Adolescent Ethiopia Accidents, Traffic Adult Male Middle Aged
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Machine learning-based drought prediction using Palmer Drought Severity Index and TerraClimate data in Ethiopia.

PloS one Jun 18, 2025
Accurate drought prediction is essential for proactive water management and agricultural planning, especially in regions like Ethiopia that are highly susceptible to climate variability. This study investigates the classification of the Palmer Drough...
Support Vector Machine Ethiopia Droughts Machine Learning Soil
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Predicting land suitability for wheat and barley crops using machine learning techniques.

Scientific reports May 7, 2025
Ensuring food security to meet the demands of a growing population remains a key challenge, especially for developing countries like Ethiopia. There are various policies and strategies designed by the government and stakeholders to confront the chall...
Agriculture Ethiopia Triticum Machine Learning Crops, Agricultural Hordeum
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Data-driven machine learning algorithm model for pneumonia prediction and determinant factor stratification among children aged 6-23 months in Ethiopia.

BMC infectious diseases May 2, 2025
INTRODUCTION: Pneumonia is the leading cause of child morbidity and mortality and accounts for 5.6 million under-five child deaths. Pneumonia has a significant impact on the quality of life, the country's economy, and the survival of children. Theref...
Pneumonia Male Infant Ethiopia Machine Learning Algorithms Female Risk Factors Humans
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Optimizing machine learning models for predicting anemia among under-five children in Ethiopia: insights from Ethiopian demographic and health survey data.

BMC pediatrics Apr 22, 2025
BACKGROUND: Healthcare practitioners require a robust predictive system to accurately diagnose diseases, especially in young children with conditions such as anemia. Delays in diagnosis and treatment can have severe consequences, potentially leading ...
Bayes Theorem Anemia Child, Preschool Health Surveys ROC Curve Ethiopia Decision Trees Logistic Models Support Vector Machine Female Male Infant Humans Machine Learning Algorithms
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