Generation of silver standard concept annotations from Biomedical texts with special relevance to phenotypes

PLoS ONE

Volumn 10, Issue 1, 2015, Pages

  Oellrich, Anika ^a   Collier, Nigel ^b,c   Smedley, Damian ^a   Groza, Tudor ^d,e  

^a WELLCOME TRUST SANGER INSTITUTE   (United Kingdom)

^b WELLCOME TRUST SANGER INSTITUTE   (United Kingdom)

^c NATIONAL INSTITUTE OF INFORMATICS   (Japan)

^d UNIVERSITY OF QUEENSLAND   (Australia)

^e GARVAN INSTITUTE OF MEDICAL RESEARCH   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; ARTICLE; CONCEPT ANALYSIS; GOLD STANDARD; MEDICAL DOCUMENTATION; MEDICAL LITERATURE; MEDICAL RESEARCH; PHENOTYPE; PUBLICATION; QUALITY CONTROL; SIGNAL PROCESSING; SILVER STANDARD; STANDARD; SYSTEM ANALYSIS; BIOLOGICAL ONTOLOGY; DATA MINING; ELECTRONIC HEALTH RECORD; HUMAN; MEDLINE; NATURAL LANGUAGE PROCESSING; STANDARDS;

BIOLOGICAL ONTOLOGIES; DATA MINING; ELECTRONIC HEALTH RECORDS; HUMANS; NATURAL LANGUAGE PROCESSING; PHENOTYPE; PUBMED;

EID: 84921743211     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0116040     Document Type: Article

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