AIMC Topic: Rwanda
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A Machine Learning-Based Triage Tool for Children With Acute Infection in a Low Resource Setting.
Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies
Dec 1, 2019
OBJECTIVES: To deploy machine learning tools (random forests) to develop a model that reliably predicts hospital mortality in children with acute infections residing in low- and middle-income countries, using age and other variables collected at hosp...
Combining satellite imagery and machine learning to predict poverty.
Science (New York, N.Y.)
Aug 19, 2016
Reliable data on economic livelihoods remain scarce in the developing world, hampering efforts to study these outcomes and to design policies that improve them. Here we demonstrate an accurate, inexpensive, and scalable method for estimating consumpt...
Health Informatics: Developing a Masters Programme in Rwanda based on the IMIA Educational Recommendations and the IMIA Knowledge Base.
Studies in health technology and informatics
Jan 1, 2015
Since 2011, the Regional e-Health Center of Excellence in Rwanda (REHCE) has run an MSc in Health Informatics programme (MSc HI). A programme review was commissioned in February 2014 after 2 cohorts of students completed the post-graduate certificate...
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