Routine Diagnosis by Computer
Abstract
A clinical computer program at the University of Missouri uses data collected by clerks, technicians, relatives, and the staff to build a data base that helps predict significant patient behavior and outcome. Computer-generated probability statements regarding diagnostic classifications are now routinely provided to clinicians. These are augmented by statistical techniques designed to help predict length of hospital stay, risk of running away, and assaultive ideation.
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