Literature DB >> 1482888

The UMLS coverage of clinical radiology.

C Friedman1.   

Abstract

The informational content of clinical radiology reports was examined to determine the coverage of the Unified Medical Language System (UMLS) in relation to the terminology used by physicians in the Radiology Department of Columbia Presbyterian Medical Center (CPMC). The UMLS semantic network contained 17 semantic types which were compatible with the types of clinical information in the reports. The type of semantic categories missing from the UMLS consisted mainly of modifier information relating to certainty, degree, and change type of information. This type of information formed a substantial part of the domain. Although most of the informational categories were found in the UMLS semantic network, most of the domain terms were not. Our results strongly suggest that the UMLS could be a significant tool for developing clinical text processing applications if it were extended to cover clinical domains.

Mesh:

Year:  1992        PMID: 1482888      PMCID: PMC2248002     

Source DB:  PubMed          Journal:  Proc Annu Symp Comput Appl Med Care        ISSN: 0195-4210


  8 in total

1.  A UMLS-based knowledge acquisition tool for rule-based clinical decision support system development.

Authors:  S L Achour; M Dojat; C Rieux; P Bierling; E Lepage
Journal:  J Am Med Inform Assoc       Date:  2001 Jul-Aug       Impact factor: 4.497

2.  Indexing thoracic CT reports using a preliminary version of a standardized radiological lexicon (RadLex).

Authors:  Dirk Marwede; Thomas Schulz; Thomas Kahn
Journal:  J Digit Imaging       Date:  2007-07-28       Impact factor: 4.056

Review 3.  The basis for using the Internet to support the information needs of primary care.

Authors:  E E Westberg; R A Miller
Journal:  J Am Med Inform Assoc       Date:  1999 Jan-Feb       Impact factor: 4.497

4.  Evaluation of the Unified Medical Language System as a medical knowledge source.

Authors:  O Bodenreider; A Burgun; G Botti; M Fieschi; P Le Beux; F Kohler
Journal:  J Am Med Inform Assoc       Date:  1998 Jan-Feb       Impact factor: 4.497

5.  The content coverage of clinical classifications. For The Computer-Based Patient Record Institute's Work Group on Codes & Structures.

Authors:  C G Chute; S P Cohn; K E Campbell; D E Oliver; J R Campbell
Journal:  J Am Med Inform Assoc       Date:  1996 May-Jun       Impact factor: 4.497

6.  Phase II evaluation of clinical coding schemes: completeness, taxonomy, mapping, definitions, and clarity. CPRI Work Group on Codes and Structures.

Authors:  J R Campbell; P Carpenter; C Sneiderman; S Cohn; C G Chute; J Warren
Journal:  J Am Med Inform Assoc       Date:  1997 May-Jun       Impact factor: 4.497

7.  Categorization of free-text problem lists: an effective method of capturing clinical data.

Authors:  J Zelingher; D M Rind; E Caraballo; M S Tuttle; N E Olson; C Safran
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1995

8.  How useful is the UMLS metathesaurus in developing a controlled vocabulary for an automated problem list?

Authors:  T H Payne; D R Martin
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1993
  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.