An efficient pancreatic cyst identification methodology using natural language processing

Studies in Health Technology and Informatics

Volumn 192, Issue 1-2, 2013, Pages 822-826

  Mehrabi, Saeed ^a   Schmidt, C Max ^a   Waters, Joshua A ^a   Beesley, Chris ^b   Krishnan, Anand ^a   Kesterson, Joe ^b   Dexter, Paul ^b   Al Haddad, Mohammed A ^a   Tierney, William M ^a,b   Palakal, Mathew ^a  

^a INDIANA UNIVERSITY   (United States)

^b REGENSTRIEF INSTITUTE   (United States)

Author keywords

dependency parser; Natural language processing; negation; Pancreatic cyst; Unstructured Information Management Architecture

Indexed keywords

COMPUTATIONAL LINGUISTICS; DISEASES; INFORMATION MANAGEMENT;

DEPENDENCY PARSER; INDIANA UNIVERSITY; MEDICAL RECORD; NEGATION; PANCREATIC CANCERS; PANCREATIC CYST; PRECISION AND RECALL; UNSTRUCTURED INFORMATION MANAGEMENTS;

NATURAL LANGUAGE PROCESSING SYSTEMS;

ALGORITHM; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; CLASSIFICATION; CONTROLLED VOCABULARY; DATA MINING; DECISION SUPPORT SYSTEM; ELECTRONIC MEDICAL RECORD; HUMAN; MEDICAL RECORD; NATURAL LANGUAGE PROCESSING; PANCREATIC CYST; PROCEDURES; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; DATA MINING; DECISION SUPPORT SYSTEMS, CLINICAL; ELECTRONIC HEALTH RECORDS; HEALTH RECORDS, PERSONAL; HUMANS; NATURAL LANGUAGE PROCESSING; PANCREATIC CYST; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; VOCABULARY, CONTROLLED;

EID: 84894328654     PISSN: 09269630     EISSN: 18798365     Source Type: Book Series    
DOI: 10.3233/978-1-61499-289-9-822     Document Type: Conference Paper

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