Cue-based assertion classification for Swedish clinical text-Developing a lexicon for pyConTextSwe

Artificial Intelligence in Medicine

Volumn 61, Issue 3, 2014, Pages 137-144

  Velupillai, Sumithra ^a   Skeppstedt, Maria ^a   Kvist, Maria ^a,b   Mowery, Danielle ^c   Chapman, Brian E ^d   Dalianis, Hercules ^a   Chapman, Wendy W ^d  

^a STOCKHOLM UNIVERSITY   (Sweden)

^b KAROLINSKA INSTITUTE   (Sweden)

^c UNIVERSITY OF PITTSBURGH SCHOOL OF MEDICINE   (United States)

^d UNIVERSITY OF UTAH SCHOOL OF MEDICINE   (United States)

Author keywords

Assertion classification; Clinical text mining; Dictionaries; Electronic health records; Information extraction; Medical language processing

Indexed keywords

ERROR ANALYSIS; GLOSSARIES; INFORMATION RETRIEVAL; TEXT MINING;

ASSERTION SYSTEM; BINARY CLASSIFICATION; ELECTRONIC HEALTH RECORD; F-SCORE; MEDICAL LANGUAGE PROCESSING; METHODS AND MATERIALS; SWEDISHS;

CLASSIFICATION (OF INFORMATION);

ANALYTICAL ERROR; ARTICLE; ASSOCIATION; BOOK; CLASSIFICATION ALGORITHM; EVALUATION STUDY; GOLD STANDARD; PERFORMANCE; PRIORITY JOURNAL; SCIENTIFIC LITERATURE; SUPPORT VECTOR MACHINE; SYSTEMATIZED NOMENCLATURE OF MEDICINE; UNCERTAINTY; ARTIFICIAL INTELLIGENCE; CONTROLLED VOCABULARY; ELECTRONIC MEDICAL RECORD; HUMAN; LANGUAGE; NATURAL LANGUAGE PROCESSING; PUBLICATION; SEMANTICS; SWEDEN;

ARTIFICIAL INTELLIGENCE; CUES; ELECTRONIC HEALTH RECORDS; HUMANS; LANGUAGE; NATURAL LANGUAGE PROCESSING; SEMANTICS; SWEDEN; TRANSLATIONS; UNCERTAINTY; VOCABULARY, CONTROLLED;

EID: 84904321212     PISSN: 09333657     EISSN: 18732860     Source Type: Journal    
DOI: 10.1016/j.artmed.2014.01.001     Document Type: Article

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