Linked Life Data

12386115

Source:http://linkedlifedata.com/resource/pubmed/id/12386115

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
6
pubmed:dateCreated
2002-10-18
pubmed:abstractText
The search filters in PubMed have become a cornerstone in information retrieval in evidence-based practice. However, the filter for diagnostic studies is not fully satisfactory, because sensitive searches have low precision. The objective of this study was to construct and validate better search strategies to identify diagnostic articles recorded on MEDLINE with special emphasis on precision.
pubmed:commentsCorrections
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
1067-5027
pubmed:author
pubmed:issnType
Print
pubmed:volume
9
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
653-8
pubmed:dateRevised
2009-11-18
pubmed:meshHeading
pubmed:articleTitle
Identifying diagnostic studies in MEDLINE: reducing the number needed to read.
pubmed:affiliation
University of Zürich, Zürich, Switzerland. lucas.bachmann@evimed.ch
pubmed:publicationType
Journal Article, Validation Studies