Identifying problematic concepts in SNOMED CT using a lexical approach

Studies in Health Technology and Informatics

Volumn 192, Issue 1-2, 2013, Pages 773-777

  Agrawal, Ankur ^a,b   Perl, Yehoshua ^a   Elhanan, Gai ^c  

^a University Heights   (United States)

^b MANHATTAN COLLEGE   (United States)

^c Halfpenny TechnologiesInc   (United States)

Author keywords

Auditing; Electronic Health Record; Lexical Analysis; Meaningful Use; Quality Assurance; SNOMED CT

Indexed keywords

MEDICAL INFORMATION SYSTEMS; QUALITY ASSURANCE; RECORDS MANAGEMENT; TERMINOLOGY;

AUDITING; ELECTRONIC HEALTH RECORD; LEXICAL ANALYSIS; MEANINGFUL USE; SNOMED-CT;

HEALTH;

ALGORITHM; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; DATA MINING; HEALTH CARE QUALITY; MEANINGFUL USE CRITERIA; NATURAL LANGUAGE PROCESSING; PROCEDURES; SEMANTICS; SYSTEMATIZED NOMENCLATURE OF MEDICINE;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; DATA MINING; MEANINGFUL USE; NATURAL LANGUAGE PROCESSING; PATTERN RECOGNITION, AUTOMATED; QUALITY ASSURANCE, HEALTH CARE; SEMANTICS; SYSTEMATIZED NOMENCLATURE OF MEDICINE;

EID: 84894376288     PISSN: 09269630     EISSN: 18798365     Source Type: Book Series    
DOI: 10.3233/978-1-61499-289-9-773     Document Type: Conference Paper

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