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Automated Outcome Classification of Computed Tomography Imaging Reports for Pediatric Traumatic Brain Injury
42
Zitationen
6
Autoren
2016
Jahr
Abstract
A hybrid NLP and machine learning automated classification system continues to show promise in coding free-text electronic clinical data. For complex outcomes, it can reliably identify negative reports, but manual review of positive reports may be required. As such, it can still streamline data collection for clinical research and performance improvement.
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