AIMC Topic: Poverty
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Assessing the field of health policy and systems research using symposium abstract submissions and machine learning techniques.
Health policy and planning
Dec 1, 2019
The field of health policy and systems research (HPSR) has grown rapidly in the past decade. Examining recently aggregated data from the Global Symposia on Health Systems Research, a key global fora for HPSR convened by the largest international soci...
Artificial Intelligence and global health: opportunities and challenges.
Emerging topics in life sciences
Nov 27, 2019
Artificial Intelligence (AI) offers unprecedented opportunities and challenges for humanity. If AI can be positioned and leveraged correctly, it can rapidly accelerate progress on achieving the United Nations' Sustainable Development Goals (SDGs), in...
The impact of social housing on mental health: longitudinal analyses using marginal structural models and machine learning-generated weights.
International journal of epidemiology
Oct 1, 2018
BACKGROUND: Social housing may provide an affordable and secure residential environment, but has also been associated with stigma, poor housing conditions and locational disadvantage. We examined the cumulative effect of additional years, and tenure ...
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...
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