AIMC Topic: Ethiopia

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Machine learning algorithms for prediction of measles one vaccination dropout among 12-23 months children in Ethiopia.

BMJ open Nov 14, 2024
INTRODUCTION: Despite the availability of a safe and effective measles vaccine in Ethiopia, the country has experienced recurrent and significant measles outbreaks, with a nearly fivefold increase in confirmed cases from 2021 to 2023. The WHO has ide...
Patient Dropouts Measles Vaccine Male Algorithms Infant Female Humans Vaccination Adolescent Young Adult Logistic Models Machine Learning Ethiopia Adult Measles
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Public opinion mining in social media about Ethiopian broadcasts using deep learning.

Scientific reports Nov 12, 2024
Now adays people express and share their opinions on various events on the internet thanks to social media. Opinion mining is the process of interpreting user-generated opinion data on social media. Aside from its lack of resources in opinion-mining ...
Deep Learning Ethiopia Social Media Data Mining Humans Public Opinion
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Downscaling MODIS evapotranspiration into finer resolution using machine learning approach on a small scale, Ribb watershed, Ethiopia.

Environmental monitoring and assessment Nov 8, 2024
By monitoring evapotranspiration (ET), the exchange of water and energy between the soil, plants, and the atmosphere can be controlled. Routine estimations of ET on a daily, monthly, and seasonal basis can give relevant information on small-scale agr...
Ethiopia Seasons Satellite Imagery Plant Transpiration Machine Learning Agriculture Environmental Monitoring
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Computer Vision Identification of Trachomatous Inflammation-Follicular Using Deep Learning.

Cornea Sep 20, 2024
PURPOSE: Trachoma surveys are used to estimate the prevalence of trachomatous inflammation-follicular (TF) to guide mass antibiotic distribution. These surveys currently rely on human graders, introducing a significant resource burden and potential f...
Male Infant Prevalence Diagnosis, Computer-Assisted Infant, Newborn Reproducibility of Results Sensitivity and Specificity Ethiopia Conjunctiva Photography Eyelids Deep Learning Child, Preschool Child ROC Curve Humans Neural Networks, Computer Female Trachoma
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Predictive modeling and socioeconomic determinants of diarrhea in children under five in the Amhara Region, Ethiopia.

Frontiers in public health Aug 1, 2024
BACKGROUND: Diarrheal disease, characterized by high morbidity and mortality rates, continues to be a serious public health concern, especially in developing nations such as Ethiopia. The significant burden it imposes on these countries underscores t...
Infant Infant, Newborn Humans Child, Preschool Risk Factors Diarrhea Health Surveys Machine Learning Adult Logistic Models Male Socioeconomic Factors Female 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....
Plant Diseases Ascomycota Pisum sativum Deep Learning Ethiopia Plant Leaves
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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...
SARS-CoV-2 Hospitalization Aged Young Adult Adult Male Middle Aged COVID-19 Algorithms Electronic Health Records Female Humans Machine Learning Adolescent Ethiopia
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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...
Ethiopia Risk Factors Child, Preschool Cardiac Surgical Procedures Aged Child Heart Diseases Young Adult Logistic Models Adult Male Machine Learning Middle Aged Humans Algorithms Infant Retrospective Studies Adolescent Female
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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...
Algorithms Models, Theoretical Ethiopia Climate Change Machine Learning
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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...
Bayes Theorem Humans Language Deep Learning Support Vector Machine Artificial Intelligence Ethiopia Machine Learning Algorithms
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