«Analysis of calls to IBD clinic
predicts emergency visits, hospitalizations.»
Not exact matches
The correlation between Internet searches on a regional medical website and next - day
visits to regional
emergency departments was «significant,» suggesting that Internet data may be used in the future to
predict the level of demand at
emergency departments.
«Looking forward, we might be able to create a model to
predict emergency department
visits that would enable better matching of personnel scheduling to ER volumes.»
«For this type of information to be useful, it is important that we be able to
predict emergency department
visits further into the future than the next day,» said Dr. Ekstrom.
By analyzing tweets and air quality information together, Ram and her collaborators were able to use machine learning algorithms to
predict with 75 percent accuracy whether the
emergency room could expect a low, medium or high number of asthma - related
visits on a given day.
Led by Sudha Ram, a UA professor of management information systems and computer science, and Dr. Yolande Pengetnze, a physician scientist at the Parkland Center for Clinical Innovation in Dallas, the researchers looked specifically at the chronic condition of asthma and how asthma - related tweets, analyzed alongside other data, can help
predict asthma - related
emergency room
visits.
«How Twitter can help
predict emergency room
visits.»
Ram and her collaborators — including Wenli Zhang, a UA doctoral student in management information systems, and researchers from the Parkland Center for Clinical Innovation — created a model that was able to successfully
predict approximately how many asthma sufferers would
visit the
emergency room at a large hospital in Dallas on a given day, based on an analysis of data gleaned from electronic medical records, air quality sensors and Twitter.
A UA - led team of researchers created a model that was able to
predict with 75 percent accuracy how many asthma - related
emergency room
visits a hospital could expect on a given day.
As
predicted, children of behaviorally controlling parents had lower rates of
emergency visits.