Improving search over Electronic Health Records using UMLS-based query expansion through random walks

Journal of Biomedical Informatics

Volumn 51, Issue , 2014, Pages 100-106

  Martinez, David ^a   Otegi, Arantxa ^b   Soroa, Aitor ^b   Agirre, Eneko ^b  

^a UNIVERSITY OF MELBOURNE   (Australia)

^b UNIVERSITY OF THE BASQUE COUNTRY   (Spain)

Author keywords

Algorithms; Data mining; Information storage and retrieval; Natural language processing; Semantics

Indexed keywords

ALGORITHMS; DIGITAL STORAGE; KNOWLEDGE BASED SYSTEMS; MEDICINE; NATURAL LANGUAGE PROCESSING SYSTEMS; RANDOM PROCESSES; RECORDS MANAGEMENT; SEMANTICS;

AUTOMATIC EXPANSION; AUTOMATIC QUERY EXPANSION; ELECTRONIC HEALTH RECORD; ELECTRONIC HEALTH RECORD (EHRS); GRAPH REPRESENTATION; INFORMATION STORAGE AND RETRIEVAL; NATURAL LANGUAGE PROCESSING; UMLS METATHESAURUS;

DATA MINING;

ALGORITHM; ARTICLE; ELECTRONIC MEDICAL RECORD; HUMAN; INFORMATION RETRIEVAL; INFORMATION STORAGE; MEDICAL TERMINOLOGY; NATURAL LANGUAGE PROCESSING; UNIFIED MEDICAL LANGUAGE SYSTEM; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER SIMULATION; DATA MINING; ORGANIZATION AND MANAGEMENT; PROCEDURES; STATISTICAL ANALYSIS; STATISTICAL MODEL;

ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; DATA MINING; ELECTRONIC HEALTH RECORDS; MODELS, STATISTICAL; NATURAL LANGUAGE PROCESSING; PATTERN RECOGNITION, AUTOMATED; UNIFIED MEDICAL LANGUAGE SYSTEM;

EID: 84908027462     PISSN: 15320464     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbi.2014.04.013     Document Type: Article

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