AIMC Topic: Geography, Medical

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Applying GIS and Machine Learning Methods to Twitter Data for Multiscale Surveillance of Influenza.

PloS one Jul 25, 2016
Traditional methods for monitoring influenza are haphazard and lack fine-grained details regarding the spatial and temporal dynamics of outbreaks. Twitter gives researchers and public health officials an opportunity to examine the spread of influenza...
Humans Machine Learning Disease Outbreaks Geographic Information Systems United States Public Health Surveillance Social Media Influenza, Human Geography, Medical
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Satellite images and machine learning can identify remote communities to facilitate access to health services.

Journal of the American Medical Informatics Association : JAMIA Aug 1, 2019
OBJECTIVE: Community health systems operating in remote areas require accurate information about where people live to efficiently provide services across large regions. We sought to determine whether a machine learning analyses of satellite imagery c...
Humans Algorithms Deep Learning Rural Population Health Services Accessibility Satellite Imagery Rural Health Services Geography, Medical Community Health Workers
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Artificial neural networks can predict trauma volume and acuity regardless of center size and geography: A multicenter study.

The journal of trauma and acute care surgery Jul 1, 2019
BACKGROUND: Trauma has long been considered unpredictable. Artificial neural networks (ANN) have recently shown the ability to predict admission volume, acuity, and operative needs at a single trauma center with very high reliability. This model has ...
Humans Neural Networks, Computer United States Bayes Theorem Injury Severity Score Wounds and Injuries Trauma Centers Geography, Medical
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