Collaborative text-annotation resource for disease-centered relation extraction from biomedical text

Journal of Biomedical Informatics

Volumn 42, Issue 5, 2009, Pages 967-977

  Cano, C ^a   Monaghan, T ^b   Blanco, A ^a   Wall, D P ^b   Peshkin, L ^b  

^a UNIVERSITY OF GRANADA   (Spain)

^b Harvard Medical School Center for Biomedical Informatics   (United States)

Author keywords

Autism; Clinical informatics; Collaborative annotation; Corpus annotation; Disease evidence network; Gene disease association; Information extraction; Information retrieval; Protein protein interaction; Relation extraction; Text mining

Indexed keywords

AUTISM; CLINICAL INFORMATICS; COLLABORATIVE ANNOTATION; CORPUS ANNOTATION; INFORMATION EXTRACTION; PROTEIN-PROTEIN INTERACTION; RELATION EXTRACTION; TEXT MINING;

ASSOCIATION REACTIONS; INFORMATION RETRIEVAL; INFORMATION SERVICES; NATURAL LANGUAGE PROCESSING SYSTEMS;

SOFTWARE AGENTS;

ARTICLE; AUTISM; BIOMEDICINE; CLASSIFICATION ALGORITHM; DATA ANALYSIS; DATA EXTRACTION; DATA SYNTHESIS; INFORMATION PROCESSING; INFORMATION RETRIEVAL; INFORMATION SYSTEM; PRIORITY JOURNAL;

AUTISTIC DISORDER; DATA MINING; DATABASES, FACTUAL; GENETIC PREDISPOSITION TO DISEASE; HUMANS; INFORMATION STORAGE AND RETRIEVAL; INTERNET; MEDICAL INFORMATICS; NATURAL LANGUAGE PROCESSING; PATTERN RECOGNITION, AUTOMATED; PROTEIN INTERACTION MAPPING; TERMINOLOGY AS TOPIC; USER-COMPUTER INTERFACE;

EID: 70349437274     PISSN: 15320464     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbi.2009.02.001     Document Type: Article

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