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Science / SNOMED CT / Systematized Nomenclature of Medicine / International Health Terminology Standards Development Organisation / Unified Medical Language System / Named-entity recognition / International Statistical Classification of Diseases and Related Health Problems / Diagnosis codes / Information extraction / Medicine / Medical classification / Health


Rule-based Entity Recognition and Coverage of SNOMED CT in Swedish Clinical Text Maria Skeppstedt1 , Maria Kvist1,2 , Hercules Dalianis1 1 Dept. 2 Dept.
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Document Date: 2012-05-16 13:54:34


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City

Oslo / Perm / Morristown / Stockholm / Marrakech / Berlin / SNOMED CT / Darlinghurst / Lisbon / Kalmar / /

Company

Hercules / Regional Ethical Review / Australian Computer Society Inc. / Sixth International / Health / IOS Press / Sixth International Language Resources / /

Country

Estonia / Sweden / United States / Australia / Portugal / Morocco / /

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Event

Product Recall / Product Issues / /

Facility

Karolinska University Hospital / Karolinska Institutet University Library / National Library of Medicine / Stockholm University / /

IndustryTerm

text mining / decision support systems / fewer language-specific natural language processing tools / text annotation tool / natural language processing / named entity recognition systems / rule-based lexical lookup systems / /

MedicalCondition

clinical entities disorders / disorder / both disorder / entity disorder / annotated disorders / semantic class disorder / pain in the left knee / class disorder / hypertension / pain / diseases / several disorders / disorders / /

Organization

Stockholm University / European Language Resources Association / American Medical Informatics Association / World Health Organization / Swedish Foundation for Strategic Research / Karolinska University Hospital / Swedish National Board of Health and Welfare / Australian Computer Society / North American Chapter / European Federation for Medical Informatics / Association for Computational Linguistics / /

Person

Michael J Lincoln / Aron Henriksson / Maria Skeppstedt / James J Masanz / Peter Budd / Karin Kipper-Schuler / Yves Lussier / Steven H Brown / Viggo Kann / Hooshang Kangarloo / Johan Carlberger / Anders Thurin / Christopher Chute / Lyuda Shagina / Wang / Wendy W Chapman / Alan R Aronson / Jonas Sj¨obergh / Hua Xu / Henry J. Lowe / Viet N Nguyen / Gunnar Nilsson / Carol Friedman / Martin Hassel / James J. Masanz / Qinghua Zou / Craig Morioka / Jon Patrick / Mei Liu / John S Carter / Sumithra Velupillai / Joshua C Denny / Karin C Kipper-Schuler / Guergana K. Savova / Yefeng Wang / Philip V. Ogren / Janet F E Penz / William Long / Philip V Ogren / Maria Kvist / Helena Karsten / Trent Rosenbloom / Wesley W. Chu / George Hripcsak / Hanna Suominen / Peter L Elkin / Proc / Dimitrios Kokkinakis / Yang Huang / Gregory H. Leazer / Marketta Hiissa / Vinod Kaggal / William R. Hersh / Subramani Mani / John N Dowling / Shannon A Sims / /

Position

editor / qualifier / class qualifier / physician / Governor / senior physician / semantic classes qualifier / /

Product

entities finding / disorders / /

ProvinceOrState

Maryland / /

PublishedMedium

Computational Linguistics / the SNOMED CT Style Guide / /

Technology

av / constructed algorithm / machine learning / html / natural language processing / machine learning system / Data Mining / /

URL

http /

SocialTag