Literature DB >> 11079847

Automated indexing for full text information retrieval.

D C Berrios1.   

Abstract

We report our experience with a statistically based method of generating sentence-level indexing based on identified UMLS concepts and query and vector-space models. We evaluated the system using the consensus markup of two domain experts as the gold standard. UMLS concepts identified both from HTML headings and in paragraph text were valuable in proposing markup. Using both sources of concepts, the model proposed the correct set of concepts in the form of a query prototype 71% of the time. The correct query prototype was ranked first or second in 79% of cases.

Mesh：

Year:  2000        PMID： 11079847      PMCID： PMC2243910     

Source DB:  PubMed          Journal:  Proc AMIA Symp        ISSN： 1531-605X


  5 in total

1.  Automation and integration of components for generalized semantic markup of electronic medical texts.

Authors:  J M Dugan; D C Berrios; X Liu; D K Kim; H Kaizer; L M Fagan
Journal:  Proc AMIA Symp       Date:  1999

2.  Knowledge requirements for automated inference of medical textbook markup.

Authors:  D C Berrios; A Kehler; L M Fagan
Journal:  Proc AMIA Symp       Date:  1999

3.  Dynamic organization of search results using the UMLS.

Authors:  W Pratt
Journal:  Proc AMIA Annu Fall Symp       Date:  1997

4.  Contextual models of clinical publications for enhancing retrieval from full-text databases.

Authors:  G P Purcell; E H Shortliffe
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1995

5.  Indexing consistency in MEDLINE.

Authors:  M E Funk; C A Reid
Journal:  Bull Med Libr Assoc       Date:  1983-04
  5 in total
  6 in total

1.  Methods for semi-automated indexing for high precision information retrieval.

Authors:  Daniel C Berrios; Russell J Cucina; Lawrence M Fagan
Journal:  J Am Med Inform Assoc       Date:  2002 Nov-Dec       Impact factor: 4.497

2.  Military research needs in biomedical informatics.

Authors:  Jaques Reifman; Gary R Gilbert; Lawrence Fagan; Richard Satava
Journal:  J Am Med Inform Assoc       Date:  2002 Sep-Oct       Impact factor: 4.497

3.  Automated encoding of clinical documents based on natural language processing.

Authors:  Carol Friedman; Lyudmila Shagina; Yves Lussier; George Hripcsak
Journal:  J Am Med Inform Assoc       Date:  2004-06-07       Impact factor: 4.497

4.  Improved identification of noun phrases in clinical radiology reports using a high-performance statistical natural language parser augmented with the UMLS specialist lexicon.

Authors:  Yang Huang; Henry J Lowe; Dan Klein; Russell J Cucina
Journal:  J Am Med Inform Assoc       Date:  2005-01-31       Impact factor: 4.497

5.  DITTO - a tool for identification of patient cohorts from the text of physician notes in the electronic medical record.

Authors:  Alexander Turchin; Merri L Pendergrass; Isaac S Kohane
Journal:  AMIA Annu Symp Proc       Date:  2005

6.  NLP-based identification of pneumonia cases from free-text radiological reports.

Authors:  Peter L Elkin; David Froehling; Dietlind Wahner-Roedler; Brett Trusko; Gail Welsh; Haobo Ma; Armen X Asatryan; Jerome I Tokars; S Trent Rosenbloom; Steven H Brown
Journal:  AMIA Annu Symp Proc       Date:  2008-11-06
  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.