Browse wiki

An evaluation of medical knowledge contained in Wikipedia and its use in the LOINC database
Abstract The logical observation identifiers names The logical observation identifiers names and codes {(LOINC)} database contains 55 000 terms consisting of more atomic components called parts. {LOINC} carries more than 18 000 distinct parts. It is necessary to have definitions/descriptions for each of these parts to assist users in mapping local laboratory codes to {LOINC.} It is believed that much of this information can be obtained from the internet; the first effort was with Wikipedia. This project focused on 1705 laboratory analytes (the first part in the {LOINC} laboratory name). Of the 1705 parts queried, 1314 matching articles were found in Wikipedia. Of these, 1299 (98.9\%) were perfect matches that exactly described the {LOINC} part, 15 (1.14\%) were partial matches (the description in Wikipedia was related to the {LOINC} part, but did not describe it fully), and 102 (7.76\%) were mis-matches. The current release of {RELMA} and {LOINC} include Wikipedia descriptions of {LOINC} parts obtained as a direct result of this project.tained as a direct result of this project.
Added by wikilit team Added on initial load  +
Collected data time dimension Cross-sectional  +
Comments Wikipedia pages + LOINC database "Research design" should also include "Design science". "Experiment" is perhaps also ok.
Conclusion We conclude that Wikipedia contains a surpWe conclude that Wikipedia contains a surprisingly large amount of scientific and medical data and could effectively be used as an initial knowledge base for specific medical informatics and research projects. The software we developed to automate the matching of LOINC part names to Wikipedia articles performed satisfactorily with high sensitivity and moderate specificity. The current release of RELMA and LOINC include descriptions of LOINC parts obtained from Wikipedia as a direct result of this project.ipedia as a direct result of this project.
Data source Archival records  + , Experiment responses  + , Wikipedia pages  +
Doi 10.1136/jamia.2009.001180 +
Google scholar url http://scholar.google.com/scholar?ie=UTF-8&q=%22An%2Bevaluation%2Bof%2Bmedical%2Bknowledge%2Bcontained%2Bin%2BWikipedia%2Band%2Bits%2Buse%2Bin%2Bthe%2BLOINC%2Bdatabase%22  +
Has author Jeff Friedlin + , Clement J McDonald +
Has domain Computer science + , Health +
Has topic Other information retrieval topics +
Issue 3  +
Month May  +
Pages 283-287  +
Peer reviewed Yes  +
Publication type Journal article  +
Published in Journal of the American Medical Informatics Association +
Research design Design science  + , Experiment  +
Research questions The purpose of this study was twofold. FirThe purpose of this study was twofold. First, we wished to evaluate the degree of medical knowledge contained in the online encyclopedia Wikipedia and the feasibility of using that knowledge as a means of adding description information to a laboratory and clinical observations database (LOINC). Second, we desired to test our software’s ability to automatically extract relevant information from Wikipedia based on queries generated from part names taken from the LOINC part database. names taken from the LOINC part database.
Revid 10,659  +
Theories Undetermined
Theory type Design and action  +
Title An evaluation of medical knowledge contained in Wikipedia and its use in the LOINC database
Unit of analysis Subject  +
Url http://www.ncbi.nlm.nih.gov/pubmed/20442145  +
Volume 17  +
Wikipedia coverage Sample data  +
Wikipedia data extraction Live Wikipedia  +
Wikipedia language English  +
Wikipedia page type Article  +
Year 2010  +
Creation dateThis property is a special property in this wiki. 15 March 2012 20:23:06  +
Categories Other information retrieval topics  + , Computer science  + , Health  + , Publications  +
Modification dateThis property is a special property in this wiki. 30 January 2014 20:20:30  +
hide properties that link here 
  No properties link to this page.
 

 

Enter the name of the page to start browsing from.