AIMC Topic: Ethiopia

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Field pea leaf disease classification using a deep learning approach.

PloS one Jul 25, 2024
Field peas are grown by smallholder farmers in Ethiopia for food, fodder, income, and soil fertility. However, leaf diseases such as ascochyta blight, powdery mildew, and leaf spots affect the quantity and quality of this crop as well as crop growth....
Pisum sativum Plant Leaves Plant Diseases Ascomycota Deep Learning Ethiopia
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Machine learning algorithms for predicting COVID-19 mortality in Ethiopia.

BMC public health Jun 28, 2024
BACKGROUND: Coronavirus disease 2019 (COVID-19), a global public health crisis, continues to pose challenges despite preventive measures. The daily rise in COVID-19 cases is concerning, and the testing process is both time-consuming and costly. While...
Hospitalization Aged Young Adult Electronic Health Records Female SARS-CoV-2 Adolescent Ethiopia Adult Male Middle Aged Humans Machine Learning COVID-19 Algorithms
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Cardiac patients' surgery outcome and associated factors in Ethiopia: application of machine learning.

BMC pediatrics Jun 18, 2024
INTRODUCTION: Cardiovascular diseases are a class of heart and blood vessel-related illnesses. In Sub-Saharan Africa, including Ethiopia, preventable heart disease continues to be a significant factor, contrasting with its presence in developed natio...
Humans Logistic Models Ethiopia Cardiac Surgical Procedures Adolescent Child, Preschool Child Heart Diseases Aged Young Adult Adult Male Middle Aged Infant Machine Learning Algorithms Retrospective Studies Female Risk Factors
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Machine learning and CORDEX-Africa regional model for assessing the impact of climate change on the Gilgel Gibe Watershed, Ethiopia.

Journal of environmental management Jun 9, 2024
Climate change is one of the most pressing challenges of our time, profoundly impacting global water resources and sustainability. This study aimed to predict the long-term effects of climate change on the Gilgel Gibe watershed by integrating machine...
Models, Theoretical Ethiopia Climate Change Machine Learning Algorithms
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AI-based disease category prediction model using symptoms from low-resource Ethiopian language: Afaan Oromo text.

Scientific reports May 16, 2024
Automated disease diagnosis and prediction, powered by AI, play a crucial role in enabling medical professionals to deliver effective care to patients. While such predictive tools have been extensively explored in resource-rich languages like English...
Algorithms Humans Support Vector Machine Language Artificial Intelligence Deep Learning Ethiopia Machine Learning Bayes Theorem
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Predicting reservoir sedimentation using multilayer perceptron - Artificial neural network model with measured and forecasted hydrometeorological data in Gibe-III reservoir, Omo-Gibe River basin, Ethiopia.

Journal of environmental management May 6, 2024
The estimation and prediction of the amount of sediment accumulated in reservoirs are imperative for sustainable reservoir sedimentation planning and management and to minimize reservoir storage capacity loss. The main objective of this study was to ...
Geologic Sediments Hydrology Environmental Monitoring Ethiopia Rivers Neural Networks, Computer Models, Theoretical
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Machine learning to predict unintended pregnancy among reproductive-age women in Ethiopia: evidence from EDHS 2016.

BMC women's health Jan 23, 2024
BACKGROUND: An unintended pregnancy is a pregnancy that is either unwanted or mistimed, such as when it occurs earlier than desired. It is one of the most important issues the public health system is currently facing, and it comes at a significant co...
Humans Ethiopia Machine Learning Black People Forecasting Pregnancy, Unplanned Pregnancy Female
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Amharic political sentiment analysis using deep learning approaches.

Scientific reports Oct 20, 2023
This study delves into the realm of sentiment analysis in the Amharic language, focusing on political sentences extracted from social media platforms in Ethiopia. The research employs deep learning techniques, including Convolutional Neural Networks ...
Ethiopia Humans Sentiment Analysis Deep Learning Language Agriculture
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LULC change detection using support vector machines and cellular automata-based ANN models in Guna Tana watershed of Abay basin, Ethiopia.

Environmental monitoring and assessment Oct 17, 2023
Recurrent changes recorded in LULC in Guna Tana watershed are a long-standing problem due to the increase in urbanization and agricultural lands. This research aims at identifying and predicting frequent changes observed using support vector machines...
Geographic Information Systems Ethiopia Agriculture Cellular Automata Environmental Monitoring Conservation of Natural Resources Support Vector Machine
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Predicting the level of anemia among Ethiopian pregnant women using homogeneous ensemble machine learning algorithm.

BMC medical informatics and decision making Sep 22, 2022
BACKGROUND: More than 115,000 maternal deaths and 591,000 prenatal deaths occurred in the world per year with anemia, the reduction of red blood cells or hemoglobin in the blood. The world health organization divides anemia in pregnancy into mild ane...
Pregnant People Algorithms Humans Anemia Ethiopia Pregnancy Machine Learning Hemoglobins Female
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