AIMC Topic: Ethiopia

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Artificial Intelligence in Geospatial Analysis for Flood Vulnerability Assessment: A Case of Dire Dawa Watershed, Awash Basin, Ethiopia.

TheScientificWorldJournal Nov 22, 2021
This study presents the novelty artificial intelligence in geospatial analysis for flood vulnerability assessment in Dire Dawa, Ethiopia. Flood-causing factors such as rainfall, slope, LULC, elevation NDVI, TWI, SAVI, K-factor, R-factor, river distan...
Geographic Information Systems Artificial Intelligence Cities Floods Ethiopia Environmental Monitoring Rivers
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Physicochemical properties, antioxidant activities and microbial communities of Ethiopian honey wine, Tej.

Food research international (Ottawa, Ont.) Oct 17, 2021
Ethiopian honey wine, Tej, is spontaneously fermented traditional alcoholic beverage, usually made from honey and "gesho" (Rhamnus prinoides). Till now, limited amount of information is available on the characterization of Tej. Thus, the aim of this ...
Microbiota Honey Antioxidants Ethiopia Wine
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Designing a hybrid dimension reduction for improving the performance of Amharic news document classification.

PloS one May 21, 2021
The volume of Amharic digital documents has grown rapidly in recent years. As a result, automatic document categorization is highly essential. In this paper, we present a novel dimension reduction approach for improving classification accuracy by com...
Linguistics Multifactor Dimensionality Reduction Information Technology Principal Component Analysis Data Mining Datasets as Topic Language Support Vector Machine Ethiopia Humans
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Predicting skilled delivery service use in Ethiopia: dual application of logistic regression and machine learning algorithms.

BMC medical informatics and decision making Nov 5, 2019
BACKGROUND: Skilled assistance during childbirth is essential to reduce maternal deaths. However, in Ethiopia, which is among the six countries contributing to more than half of the global maternal deaths, the coverage of births attended by skilled h...
Young Adult Adult Cross-Sectional Studies Middle Aged Maternal Health Services Adolescent Clinical Decision-Making Pregnancy Female Bayes Theorem Humans Health Surveys Delivery, Obstetric Machine Learning Logistic Models Ethiopia
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Sensitivity and specificity of computer vision classification of eyelid photographs for programmatic trachoma assessment.

PloS one Feb 11, 2019
BACKGROUND/AIMS: Trachoma programs base treatment decisions on the community prevalence of the clinical signs of trachoma, assessed by direct examination of the conjunctiva. Automated assessment could be more standardized and more cost-effective. We ...
Trachoma Neural Networks, Computer Artificial Intelligence Algorithms Conjunctiva Prevalence Eyelids Photography Humans Image Processing, Computer-Assisted Niger Ethiopia
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Evaluation of a miniaturized NIR spectrometer for cultivar identification: The case of barley, chickpea and sorghum in Ethiopia.

PloS one Mar 21, 2018
Crop cultivar identification is fundamental for agricultural research, industry and policies. This paper investigates the feasibility of using visible/near infrared hyperspectral data collected with a miniaturized NIR spectrometer to identify cultiva...
Spectroscopy, Near-Infrared Hordeum Humans Discriminant Analysis Support Vector Machine Image Interpretation, Computer-Assisted Cicer Sorghum Ethiopia
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Detecting microcephaly and macrocephaly from ultrasound images using artificial intelligence.

BMC medical imaging May 26, 2025
BACKGROUND: Microcephaly and macrocephaly, which are abnormal congenital markers, are associated with developmental and neurologic deficits. Hence, there is a medically imperative need to conduct ultrasound imaging early on. However, resource-limited...
Humans Microcephaly Artificial Intelligence Megalencephaly Deep Learning Female Pregnancy Ethiopia Ultrasonography, Prenatal
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Application of machine learning algorithm for prediction of abortion among reproductive age women in Ethiopia.

Scientific reports May 23, 2025
Abortion is a critical health issue that leads to numerous complications, maternal deaths, and significant financial burdens on women, families, and healthcare systems. Studies have identified factors associated with abortion using traditional statis...
Machine Learning Algorithms Pregnancy Female Humans Adolescent Young Adult Ethiopia Adult Abortion, Induced Middle Aged
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Development of a machine learning prediction model for loss to follow-up in HIV care using routine electronic medical records in a low-resource setting.

BMC medical informatics and decision making May 19, 2025
BACKGROUND: Despite the global commitment to ending AIDS by 2030, the loss of follow-up (LTFU) in HIV care remains a significant challenge. To address this issue, a data-driven clinical decision tool is crucial for identifying patients at greater ris...
Machine Learning Retrospective Studies Electronic Health Records Humans Middle Aged HIV Infections Ethiopia Female Lost to Follow-Up Adult Male
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Comparative analysis of machine learning algorithms for predicting diarrhea among under-five children in Ethiopia: Evidence from 2016 EDHS.

Health informatics journal Jan 1, 2024
: Diarrhea is a major cause of mortality and morbidity in under-5 children globally, especially in developing countries like Ethiopia. Limited research has used machine learning to predict childhood diarrhea. This study aimed to compare the predictiv...
Infant Child, Preschool Health Surveys Female Infant, Newborn Male Diarrhea Ethiopia Humans Machine Learning Algorithms
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