Using semantic predications to uncover drug-drug interactions in clinical data

Journal of Biomedical Informatics

Volumn 49, Issue , 2014, Pages 134-147

  Zhang, Rui ^a   Cairelli, Michael J ^b   Fiszman, Marcelo ^b   Rosemblat, Graciela ^b   Kilicoglu, Halil ^b   Rindflesch, Thomas C ^b   Pakhomov, Serguei V ^a,c   Melton, Genevieve B ^a,d  

^a UNIVERSITY OF MINNESOTA   (United States)

^b NATIONAL INSTITUTES OF HEALTH   (United States)

^c UNIVERSITY OF MINNESOTA   (United States)

^d UNIVERSITY OF MINNESOTA MEDICAL SCHOOL   (United States)

Author keywords

Drug drug interactions; MEDLINE; Natural language processing; Semantic predication; SemMedDB; SemRep

Indexed keywords

BIOLOGICAL SYSTEMS; DRUG PRODUCTS; GENES; NATURAL LANGUAGE PROCESSING SYSTEMS; SEMANTICS;

DRUG-DRUG INTERACTIONS; MEDLINE; NATURAL LANGUAGE PROCESSING; SEMANTIC PREDICATIONS; SEMMEDDB; SEMREP;

DRUG INTERACTIONS;

ANTIDEPRESSANT AGENT; DIPEPTIDYL CARBOXYPEPTIDASE INHIBITOR; DRUG; LISINOPRIL; SERTRALINE; SEROTONIN UPTAKE INHIBITOR;

ACCURACY; ARTICLE; BIOLOGICAL FUNCTIONS; CLINICAL STUDY; DRUG INTERACTION; DRUG THERAPY; GENE; HUMAN; KNOWLEDGE; METHODOLOGY; PREDICTION; PRIORITY JOURNAL; PSORIASIS; SEMANTICS;

ANGIOTENSIN-CONVERTING ENZYME INHIBITORS; DRUG INTERACTIONS; HUMANS; LISINOPRIL; SEMANTICS; SEROTONIN UPTAKE INHIBITORS; SERTRALINE;

EID: 84902545209     PISSN: 15320464     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbi.2014.01.004     Document Type: Article

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