Linked Life Data

10221459

Source:http://linkedlifedata.com/resource/pubmed/id/10221459

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
1999-5-4
pubmed:abstractText
To determine whether a clinical prediction model developed to identify malignant lung nodules based on clinical data and radiologic lung nodule characteristics could predict a malignant lung nodule diagnosis with higher accuracy than physicians.
pubmed:commentsCorrections
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
AIM
pubmed:status
MEDLINE
pubmed:month
Apr
pubmed:issn
0025-6196
pubmed:author
pubmed:issnType
Print
pubmed:volume
74
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
319-29
pubmed:dateRevised
2007-10-29
pubmed:meshHeading
pubmed:year
1999
pubmed:articleTitle
Solitary pulmonary nodules: clinical prediction model versus physicians.
pubmed:affiliation
Department of Diagnostic Radiology, Mayo Clinic Rochester, Minnesota 55905, USA.
pubmed:publicationType
Journal Article