Google predicts medical outcomes

Sat, 27 Jan 2018, by Wayne Radinsky

"Google is using 46 billion data points to predict the medical outcomes of hospital patients."

"A new research paper [...] claims better accuracy than existing software at predicting outcomes like whether a patient will die in the hospital, be discharged and readmitted, and their final diagnosis. To conduct the study, Google obtained de-identified data of 216,221 adults, with more than 46 billion data points between them. The data span 11 combined years at two hospitals, University of California San Francisco Medical Center (from 2012-2016) and University of Chicago Medicine (2009-2016)."

"Its biggest claim is the ability to predict patient deaths 24-48 hours before current methods, which could allow time for doctors to administer life-saving procedures."

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