Identifying Wrist Fracture Patients with High Accuracy by Automatic Categorization of X-ray Reports

Journal of the American Medical Informatics Association

Volumn 13, Issue 6, 2006, Pages 696-698

  de Bruijn, Berry ^a   Cranney, Ann ^b,c   O'Donnell, Siobhan ^b   Martin, Joel D ^a   Forster, Alan J ^b,c  

^a NATIONAL RESEARCH COUNCIL CANADA   (Canada)

^b OTTAWA HOSPITAL RESEARCH INSTITUTE   (Canada)

^c UNIVERSITY OF OTTAWA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; DIAGNOSTIC ACCURACY; HUMAN; INFORMATION RETRIEVAL; MEDICAL INFORMATICS; MEDICAL INFORMATION; MEDICAL RECORD; PREDICTIVE VALIDITY; SENSITIVITY AND SPECIFICITY; VALIDATION PROCESS; WRIST FRACTURE; X RAY;

ARTIFICIAL INTELLIGENCE; BAYES THEOREM; HUMANS; INFORMATION STORAGE AND RETRIEVAL; MEDICAL RECORDS; NEURAL NETWORKS (COMPUTER); RADIOLOGY INFORMATION SYSTEMS; WRIST INJURIES;

EID: 33750454830     PISSN: 10675027     EISSN: None     Source Type: Journal    
DOI: 10.1197/jamia.M1995     Document Type: Article

References (6)

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