Health IT Analytics May 14, 2018
A deep learning model developed by Google uses big data from electronic health records and predicts clinical outcomes more accurately than traditional models.
A deep learning approach that incorporates big data from electronic health records (EHRs) was able to predict inpatient mortality, unexpected readmissions, and long length of stay more accurately than traditional predictive models, according to a studyconducted by researchers at Google.
The deep learning tool was able to analyze more than 46 billion individual data points drawn from the EHRs of over 216,000 patients in two hospitals. The data set included unstructured data, such as free-text clinical notes.
“EHRs are tremendously complicated,” wrote Alvin Rajkomar MD, Research Scientist and Eyal Oren PhD, Product Manager, Google AI, in a...
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