Detecting concept relations in clinical text: Insights from a state-of-the-art model

Journal of Biomedical Informatics

Volumn 46, Issue 2, 2013, Pages 275-285

  Zhu, Xiaodan ^a   Cherry, Colin ^a   Kiritchenko, Svetlana ^a   Martin, Joel ^a   de Bruijn, Berry ^a  

^a NATIONAL RESEARCH COUNCIL CANADA   (Canada)

Author keywords

Algorithms; Artificial Intelligence; Electronic Health Records; Natural language processing; Text mining

Indexed keywords

ELECTRONIC HEALTH RECORD; KNOWLEDGE SOURCES; MEDICAL CONCEPTS; NATURAL LANGUAGE PROCESSING; REAL-WORLD SCENARIO; SEMANTIC RELATIONS; STATE OF THE ART; TEXT MINING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; DATA MINING; MEDICAL PROBLEMS; SEMANTICS;

NATURAL LANGUAGE PROCESSING SYSTEMS;

ACCURACY; ARTICLE; DATA EXTRACTION; HUMAN; KERNEL METHOD; PRIORITY JOURNAL; SEMANTICS;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; DATA MINING; DATABASES, FACTUAL; ELECTRONIC HEALTH RECORDS; HUMANS; NATURAL LANGUAGE PROCESSING; SEMANTICS;

EID: 84875601114     PISSN: 15320464     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbi.2012.11.006     Document Type: Article

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