Automated detection of critical results in radiology reports

Journal of Digital Imaging

Volumn 25, Issue 1, 2012, Pages 30-36

  Lakhani, Paras ^a   Kim, Woojin ^a   Langlotz, Curtis P ^a  

^a HOSPITAL OF THE UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

Algorithms; Communication; Critical Results Reporting; Data Mining; Natural Language Processing; Quality Assurance; Quality Control

Indexed keywords

ACUTE APPENDICITIS; AUTOMATED DETECTION; ECTOPIC PREGNANCIES; F-MEASURE; INTRACRANIAL HEMORRHAGES; INTRAPERITONEAL; LOW LEVEL; MEAN PRECISION; NATURAL LANGUAGE PROCESSING; PROXIMITY MATCHING; PULMONARY EMBOLISM; RADIOLOGY REPORTS; REFERENCE STANDARD; RESULTS REPORTING; RULE-BASED APPROACH; TEXT-MINING;

ACCREDITATION; COMMUNICATION; COMPUTATIONAL LINGUISTICS; DATA MINING; NATURAL LANGUAGE PROCESSING SYSTEMS; QUALITY ASSURANCE; QUALITY CONTROL; RADIATION; RADIOLOGY;

ALGORITHMS;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; CLINICAL PATHWAY; DATA MINING; FACTUAL DATABASE; HOSPITAL INFORMATION SYSTEM; HUMAN; INFORMATION RETRIEVAL; METHODOLOGY; RADIOLOGY; RESEARCH; VALIDATION STUDY;

ALGORITHMS; CRITICAL PATHWAYS; DATA MINING; DATABASES, FACTUAL; HUMANS; INFORMATION STORAGE AND RETRIEVAL; PATTERN RECOGNITION, AUTOMATED; RADIOLOGY; RADIOLOGY INFORMATION SYSTEMS; RESEARCH REPORT;

EID: 84861326925     PISSN: 08971889     EISSN: 1618727X     Source Type: Journal    
DOI: 10.1007/s10278-011-9426-6     Document Type: Article

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