Machine learning shows promise in optimizing ICU blood tests

January 25, 2019

A computational approach has the potential to help clinicians in intensive care units make better decisions about ordering common blood tests.

Results of their study, presented earlier this month at the 2019 Pacific Symposium on Biocomputing, showed that using a machine learning algorithm developed by Princeton University researchers could have reduced the number of lab orders for white blood cell tests by as much as 44 percent.

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