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NEW YORK – A recent study has demonstrated that machine learning methods can sort out which laboratory tests used in hospitals may have greater patient-care value, and which ones don't.

The study, which was led by Stanford University researchers and published this week in JAMA, analyzed data from 191,506 inpatients at three different hospitals to predict which diagnostic lab tests are medically unnecessary.

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