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Machine-Learning Classifier Cuts Unnecessary CT in Kids After Head Trauma

09:05 EDT 17 May 2019 | Medscape

A machine-learning model correctly identifies more children with head trauma who could avoid CT imaging than does the Pediatric Emergency Care Applied Research Network (PECARN) head-trauma decision rules, according to a database study.
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Original Article: Machine-Learning Classifier Cuts Unnecessary CT in Kids After Head Trauma

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