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.”

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s