Developing a manually annotated clinical document corpus to identify phenotypic information for inflammatory bowel disease

BMC Bioinformatics

Volumn 10, Issue SUPPL. 9, 2009, Pages

  South, Brett R ^a,b   Shen, Shuying ^a,b   Jones, Makoto ^b   Garvin, Jennifer ^a,b   Samore, Matthew H ^a,b   Chapman, Wendy W ^c   Gundlapalli, Adi V ^a,b  

^a VETERANS AFFAIRS MEDICAL CENTER   (United States)

^b UNIVERSITY OF UTAH SCHOOL OF MEDICINE   (United States)

^c UNIVERSITY OF PITTSBURGH SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CLINICAL RESEARCH; DIAGNOSIS; INFORMATION RETRIEVAL; LINGUISTICS; MEDICAL COMPUTING; NATURAL LANGUAGE PROCESSING SYSTEMS;

ANCILLARY SERVICE; ELECTRONIC MEDICAL RECORD; EXTRACT INFORMATIONS; INFLAMMATORY BOWEL DISEASE; MANUAL ANNOTATION; NATURAL LANGUAGE PROCESSING; REFERENCE STANDARD; TRANSLATIONAL RESEARCH;

MEDICAL INFORMATION SYSTEMS;

ANAMNESIS; CLINICAL DATA REPOSITORY; CONFERENCE PAPER; CONTROLLED STUDY; ELECTRONIC MEDICAL RECORD; ENTERITIS; FAMILY HISTORY; HUMAN; KAPPA STATISTICS; MAJOR CLINICAL STUDY; MEDICAL DOCUMENTATION; MEDICAL INFORMATION SYSTEM; NATURAL LANGUAGE PROCESSING; PATIENT ASSESSMENT; PATIENT CARE PLANNING; PHENOTYPE; PRIMARY MEDICAL CARE;

EID: 70349853094     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-10-S9-S12     Document Type: Conference Paper

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