Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
5
pubmed:dateCreated
2009-10-8
pubmed:abstractText
To compare different prediction models for assessing outcome of patients undergoing non-invasive risk stratification of suspected or known coronary artery disease.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Oct
pubmed:issn
1365-2753
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
15
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
777-81
pubmed:meshHeading
pubmed:year
2009
pubmed:articleTitle
Non-invasive risk stratification of coronary artery disease: an evaluation of some commonly used statistical classifiers in terms of predictive accuracy and clinical usefulness.
pubmed:affiliation
Department of Public Health and Microbiology, University of Turin, Turin, Italy. dario.gregori@unito.it
pubmed:publicationType
Journal Article, Comparative Study