Literature DB >> 15360769

NCI Thesaurus: using science-based terminology to integrate cancer research results.

Sherri de Coronado1, Margaret W Haber, Nicholas Sioutos, Mark S Tuttle, Lawrence W Wright.   

Abstract

Cancer researchers need to be able to organize and report their results in a way that others can find, build upon, and relate to the specific clinical conditions of individual patients. NCI Thesaurus is a description logic terminology based on current science that helps individuals and software applications connect and organize the results of cancer research, e.g., by disease and underlying biology. Currently containing some 34,000 concepts--covering chemicals, drugs and other therapies, diseases, genes and gene products, anatomy, organisms, animal models, techniques, biologic processes, and administrative categories--NCI Thesaurus serves applications and the Web from a terminology server. As a scalable, formal terminology, the deployed Thesaurus, and associated applications and interfaces, are a model for some of the standards required for the NHII (National Health Information Infrastructure) and the Semantic Web.

Entities:  

Mesh:

Year:  2004        PMID: 15360769

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  48 in total

1.  Leveraging terminologies for retrieval of radiology reports with critical imaging findings.

Authors:  Graham I Warden; Ronilda Lacson; Ramin Khorasani
Journal:  AMIA Annu Symp Proc       Date:  2011-10-22

2.  Information from Searching Content with an Ontology-Utilizing Toolkit (iSCOUT).

Authors:  Ronilda Lacson; Katherine P Andriole; Luciano M Prevedello; Ramin Khorasani
Journal:  J Digit Imaging       Date:  2012-08       Impact factor: 4.056

3.  Cross-terminology mapping challenges: a demonstration using medication terminological systems.

Authors:  Himali Saitwal; David Qing; Stephen Jones; Elmer V Bernstam; Christopher G Chute; Todd R Johnson
Journal:  J Biomed Inform       Date:  2012-06-28       Impact factor: 6.317

Review 4.  [Oncological data elements in histopathology].

Authors:  G Haroske; T Kramm; M Mörz; M Oberholzer
Journal:  Pathologe       Date:  2010-09       Impact factor: 1.011

5.  Alignment of multiple ontologies of anatomy: deriving indirect mappings from direct mappings to a reference.

Authors:  Songmao Zhang; Olivier Bodenreider
Journal:  AMIA Annu Symp Proc       Date:  2005

6.  Use of description logic classification to reason about consequences of penetrating injuries.

Authors:  Daniel L Rubin; Olivier Dameron; Mark A Musen
Journal:  AMIA Annu Symp Proc       Date:  2005

7.  Ontology-based annotation and query of tissue microarray data.

Authors:  Nigam H Shah; Daniel L Rubin; Kaustubh S Supekar; Mark A Musen
Journal:  AMIA Annu Symp Proc       Date:  2006

8.  Experience in reasoning with the foundational model of anatomy in OWL DL.

Authors:  Songmao Zhang; Olivier Bodenreider; Christine Golbreich
Journal:  Pac Symp Biocomput       Date:  2006

Review 9.  Accessing and integrating data and knowledge for biomedical research.

Authors:  A Burgun; O Bodenreider
Journal:  Yearb Med Inform       Date:  2008

10.  Biomedical ontologies in action: role in knowledge management, data integration and decision support.

Authors:  O Bodenreider
Journal:  Yearb Med Inform       Date:  2008
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