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rdf:type |
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lifeskim:mentions |
umls-concept:C0021200,
umls-concept:C0025141,
umls-concept:C0036849,
umls-concept:C0220931,
umls-concept:C0242356,
umls-concept:C0699794,
umls-concept:C1442518,
umls-concept:C1527021,
umls-concept:C1552652,
umls-concept:C1552685,
umls-concept:C1705195
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pubmed:dateCreated |
2005-4-11
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pubmed:abstractText |
The MEDLINE database contains over 12 million references to scientific literature, with about 3/4 of recent articles including an abstract of the publication. Retrieval of entries using queries with keywords is useful for human users that need to obtain small selections. However, particular analyses of the literature or database developments may need the complete ranking of all the references in the MEDLINE database as to their relevance to a topic of interest. This report describes a method that does this ranking using the differences in word content between MEDLINE entries related to a topic and the whole of MEDLINE, in a computational time appropriate for an article search query engine.
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pubmed:commentsCorrections |
http://linkedlifedata.com/resource/pubmed/commentcorrection/15790421-10878241,
http://linkedlifedata.com/resource/pubmed/commentcorrection/15790421-11080018,
http://linkedlifedata.com/resource/pubmed/commentcorrection/15790421-11551795,
http://linkedlifedata.com/resource/pubmed/commentcorrection/15790421-11825203,
http://linkedlifedata.com/resource/pubmed/commentcorrection/15790421-11928488,
http://linkedlifedata.com/resource/pubmed/commentcorrection/15790421-12050632,
http://linkedlifedata.com/resource/pubmed/commentcorrection/15790421-12074170,
http://linkedlifedata.com/resource/pubmed/commentcorrection/15790421-12728240,
http://linkedlifedata.com/resource/pubmed/commentcorrection/15790421-12775220,
http://linkedlifedata.com/resource/pubmed/commentcorrection/15790421-14681407,
http://linkedlifedata.com/resource/pubmed/commentcorrection/15790421-8725772,
http://linkedlifedata.com/resource/pubmed/commentcorrection/15790421-9730925
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pubmed:language |
eng
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pubmed:journal |
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pubmed:citationSubset |
IM
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pubmed:status |
MEDLINE
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pubmed:issn |
1471-2105
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pubmed:author |
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pubmed:issnType |
Electronic
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pubmed:volume |
6
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
75
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pubmed:dateRevised |
2009-11-18
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pubmed:meshHeading |
pubmed-meshheading:15790421-Abstracting and Indexing as Topic,
pubmed-meshheading:15790421-Algorithms,
pubmed-meshheading:15790421-Bayes Theorem,
pubmed-meshheading:15790421-Computational Biology,
pubmed-meshheading:15790421-Database Management Systems,
pubmed-meshheading:15790421-Databases, Bibliographic,
pubmed-meshheading:15790421-Databases, Protein,
pubmed-meshheading:15790421-Databases as Topic,
pubmed-meshheading:15790421-False Positive Reactions,
pubmed-meshheading:15790421-Humans,
pubmed-meshheading:15790421-Information Storage and Retrieval,
pubmed-meshheading:15790421-Information Systems,
pubmed-meshheading:15790421-Language,
pubmed-meshheading:15790421-MEDLINE,
pubmed-meshheading:15790421-Natural Language Processing,
pubmed-meshheading:15790421-Stem Cells,
pubmed-meshheading:15790421-Subject Headings,
pubmed-meshheading:15790421-User-Computer Interface,
pubmed-meshheading:15790421-Vocabulary, Controlled
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pubmed:year |
2005
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pubmed:articleTitle |
Ranking the whole MEDLINE database according to a large training set using text indexing.
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pubmed:affiliation |
Ontario Genomics Innovation Centre, Ottawa Health Research Institute, 501 Smyth Rd, Ottawa, Ontario K1H 8L6, Canada. bsuomela@ohri.ca
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pubmed:publicationType |
Journal Article,
Research Support, Non-U.S. Gov't
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