AIMC Topic: Rwanda
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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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