AIMC Topic: Developing Countries
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Artificial Intelligence and its role in surgical care in low-income and middle-income countries.
The Lancet. Digital health
Dec 1, 2019
Application of Big Data and Artificial Intelligence technologies to dementia prevention research: an opportunity for low-and-middle-income countries.
Journal of global health
Dec 1, 2019
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...
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 for global health.
Science (New York, N.Y.)
Nov 22, 2019
Artificial intelligence can augment global pathology initiatives.
Lancet (London, England)
Dec 1, 2018
Machine learning without borders? An adaptable tool to optimize mortality prediction in diverse clinical settings.
The journal of trauma and acute care surgery
Nov 1, 2018
BACKGROUND: Mortality prediction aids clinical decision making and is necessary for quality improvement initiatives. Validated metrics rely on prespecified variables and often require advanced diagnostics, which are unfeasible in resource-constrained...
Prediction and Factor Extraction of Drug Function by Analyzing Medical Records in Developing Countries.
Studies in health technology and informatics
Jan 1, 2017
The World Health Organization has declared Bangladesh one of 58 countries facing acute Human Resources for Health (HRH) crisis. Artificial intelligence in healthcare has been shown to be successful for diagnostics. Using machine learning to predict p...
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...
AIDS causes sharp rise in number of Brazilian orphans.
AIDS weekly plus
Oct 28, 1996
An estimated 183,000 Brazilian children are at risk of losing their mothers to AIDS, according to a survey released. The survey, sponsored by UNICEF, was conducted by the John Snow Institute. Survey estimates are that 10,600 Brazilian children younge...
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