AIMC Topic: Ethiopia

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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 ...
Machine Learning Female Young Adult Humans Adolescent Ethiopia Accidents, Traffic Automobile Driving 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...
Ethiopia Droughts Machine Learning Soil Support Vector Machine
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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...
Triticum Crops, Agricultural Hordeum Machine Learning Agriculture Ethiopia
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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...
Infant Ethiopia Female Pneumonia Risk Factors Humans Male Machine Learning Algorithms
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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 ...
Support Vector Machine Ethiopia Decision Trees Bayes Theorem Anemia Health Surveys ROC Curve Logistic Models Male Infant Child, Preschool Humans Machine Learning Algorithms Female
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Predicting determinants of unimproved water supply in Ethiopia using machine learning analysis of EDHS-2019 data.

Scientific reports Apr 4, 2025
Over 2 billion people worldwide are impacted by the global dilemma of access to clean and safe drinking water. The problem is most acute in low-income nations, where many people still use unimproved water sources such as exposed wells and surface wat...
Ethiopia Drinking Water Water Supply Neural Networks, Computer Machine Learning Socioeconomic Factors Humans
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Machine learning algorithms to predict khat chewing practice and its predictors among men aged 15 to 59 in Ethiopia: further analysis of the 2011 and 2016 Ethiopian Demographic and Health Survey.

Frontiers in public health Mar 27, 2025
INTRODUCTION: Khat chewing is a significant public health issue in Ethiopia, influenced by various demographic factors. Understanding the prevalence and determinants of khat chewing practices is essential to developing targeted interventions. Therefo...
Middle Aged Ethiopia Humans Adolescent Young Adult Machine Learning Mastication Health Surveys Adult Algorithms Catha Male
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Improving machine learning models through explainable AI for predicting the level of dietary diversity among Ethiopian preschool children.

Italian journal of pediatrics Mar 24, 2025
BACKGROUND: Child nutrition in Ethiopia is a significant concern, particularly for preschool-aged children. Children must have a varied diet to ensure they receive all the essential nutrients for good health. Unfortunately, many children in Ethiopia ...
Child, Preschool Ethiopia Female Male Humans Diet Machine Learning
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Machine learning applications to classify and monitor medication adherence in patients with type 2 diabetes in Ethiopia.

Frontiers in endocrinology Mar 20, 2025
BACKGROUND: Medication adherence plays a crucial role in determining the health outcomes of patients, particularly those with chronic conditions like type 2 diabetes. Despite its significance, there is limited evidence regarding the use of machine le...
Female Ethiopia Aged Adult Medication Adherence Cross-Sectional Studies Humans Diabetes Mellitus, Type 2 Male Machine Learning Hypoglycemic Agents Middle Aged Algorithms
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Causal machine learning models for predicting low birth weight in midwife-led continuity care intervention in North Shoa Zone, Ethiopia.

BMC medical informatics and decision making Feb 7, 2025
BACKGROUND: Low birth weight (LBW) is a critical global health issue that affects infants disproportionately, particularly in developing countries. This study adopted causal machine learning (CML) algorithms for predicting LBW in newborns, drawing fr...
Young Adult Adult Prenatal Care Ethiopia Infant, Low Birth Weight Continuity of Patient Care Pregnancy Female Humans Midwifery Infant, Newborn Machine Learning
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