University of Arizona: Twitter And Big Data Could Predict Emergency Room Rush Hours

University of Arizona: Twitter And Big Data Could Predict Emergency Room Rush Hours. “Research that will be published in the IEEE Journal of Biomedical and Health Informatics combines Twitter posts and air quality and hospital data to form a model that researchers believe can predict emergency room trends more effectively and immediately than existing disease surveillance models, such as that published by the U.S. Centers for Disease Control and Prevention. While health and data tools such as Google Flu Tracker have used social media and search engines to monitor the spread of contagions, this new model is the first to look at chronic illnesses such as asthma, the researchers say.”