Automated Outcome Classification of Emergency Department Computed Tomography Imaging Reports

Background Reliably ing outcomes from free‐text electronic health records remains a challenge. While automated classification of free text has been a popular medical informatics topic, performance validation using real‐world clinical data has been limited. The two main approaches are linguistic (nat...

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Veröffentlicht in:	Academic emergency medicine 2013-08, Vol.20 (8), p.848-854
Hauptverfasser:	Yadav, Kabir, Sarioglu, Efsun, Smith, Meaghan, Choi, Hyeong‐Ah, Newgard, Craig D.
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial Intelligence Classification Cohort Studies Comparative analysis Electronic Health Records Emergency Medical Services - classification Emergency Service, Hospital - classification Humans Linguistics Natural Language Processing Retrospective Studies Sensitivity and Specificity Tomography Tomography, X-Ray Computed - classification
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