AIMC Topic: Ethiopia

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Assessing fecal contamination from human and environmental sources using as an indicator in rural eastern Ethiopian households-a cross-sectional study from the EXCAM project.

Frontiers in public health Jan 6, 2025
INTRODUCTION: Enteric pathogens are a leading causes of diarrheal deaths in low-and middle-income countries. The Exposure Assessment of Infections in Rural Ethiopia (EXCAM) project, aims to identify potential sources of bacteria in the genus and, m...
Rural Population Ethiopia Escherichia coli Family Characteristics Cross-Sectional Studies Humans Male Female Infant Adult Feces
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Optimizing hypertension prediction using ensemble learning approaches.

PloS one Dec 23, 2024
Hypertension (HTN) prediction is critical for effective preventive healthcare strategies. This study investigates how well ensemble learning techniques work to increase the accuracy of HTN prediction models. Utilizing a dataset of 612 participants fr...
Logistic Models Hypertension Ethiopia Humans Risk Factors Neural Networks, Computer Adult Machine Learning Male Female Middle Aged
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Leveraging machine learning models for anemia severity detection among pregnant women following ANC: Ethiopian context.

BMC public health Dec 18, 2024
BACKGROUND: Anemia during pregnancy is a significant public health concern, particularly in resource-limited settings. Machine learning (ML) offers promising avenues for improved anemia detection and management. This study investigates the potential ...
Humans Machine Learning Pregnancy Female Adolescent Ethiopia Anemia Pregnancy Complications, Hematologic Young Adult Adult Prenatal Care Severity of Illness Index
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Machine-learning methodologies to predict disease progression in chronic hepatitis B in Africa.

Hepatology communications Nov 15, 2024
BACKGROUND: Little is known about the determinants of disease progression among African patients with chronic HBV infection.
Hepatitis B, Chronic Elasticity Imaging Techniques Liver Cirrhosis Longitudinal Studies Ethiopia Predictive Value of Tests Humans Machine Learning Algorithms Female Adult Male Middle Aged Disease Progression
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Prediction of acute respiratory infections using machine learning techniques in Amhara Region, Ethiopia.

Scientific reports Nov 14, 2024
Many studies have shown that infectious diseases are responsible for the majority of deaths in children under five. Among these children, Acute Respiratory Infections is the most prevalent illness and cause of death worldwide. Acute respiratory infec...
Ethiopia Decision Trees Acute Disease Respiratory Tract Infections Infant Adolescent Child, Preschool ROC Curve Algorithms Female Infant, Newborn Risk Factors Young Adult Adult Male Middle Aged Humans Machine Learning
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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...
Young Adult Adult Male Infant Humans Machine Learning Algorithms Female Measles Adolescent Patient Dropouts Vaccination Measles Vaccine Logistic Models Ethiopia
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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...
Infant, Newborn Reproducibility of Results Sensitivity and Specificity Male Infant Prevalence Diagnosis, Computer-Assisted Deep Learning Humans Neural Networks, Computer Female Conjunctiva Photography Eyelids Trachoma Child, Preschool Child ROC Curve Ethiopia
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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...
Ethiopia Health Surveys Diarrhea Logistic Models Socioeconomic Factors Adult Humans Machine Learning Male Infant Female Child, Preschool Infant, Newborn Risk Factors
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