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rdf:type |
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lifeskim:mentions |
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pubmed:issue |
4
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pubmed:dateCreated |
2011-7-20
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pubmed:abstractText |
Morbidity and mortality rates associated with heart failure remain high. A wide variety of demographic and clinical factors as well as biomarkers are associated with increased mortality rates. Despite this, most multivariate predictive models for heart failure mortality have predictive accuracies characterized by a C-statistic (area under the receiver operating curve) of ?0.74.
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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:chemical |
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pubmed:status |
MEDLINE
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pubmed:month |
Jul
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pubmed:issn |
1941-3297
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pubmed:author |
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pubmed:issnType |
Electronic
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pubmed:volume |
4
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
456-62
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pubmed:dateRevised |
2011-10-27
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pubmed:meshHeading |
pubmed-meshheading:21562057-Aged,
pubmed-meshheading:21562057-Algorithms,
pubmed-meshheading:21562057-Biological Markers,
pubmed-meshheading:21562057-Cytokines,
pubmed-meshheading:21562057-Female,
pubmed-meshheading:21562057-Heart Failure,
pubmed-meshheading:21562057-Humans,
pubmed-meshheading:21562057-Interleukin-6,
pubmed-meshheading:21562057-Logistic Models,
pubmed-meshheading:21562057-Male,
pubmed-meshheading:21562057-Middle Aged,
pubmed-meshheading:21562057-Models, Cardiovascular,
pubmed-meshheading:21562057-ROC Curve,
pubmed-meshheading:21562057-Receptors, Cytokine,
pubmed-meshheading:21562057-Retrospective Studies,
pubmed-meshheading:21562057-Tumor Necrosis Factor-alpha
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pubmed:year |
2011
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pubmed:articleTitle |
New predictive models of heart failure mortality using time-series measurements and ensemble models.
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pubmed:affiliation |
Department of Computer Science, Rice University, Houston, TX 77005, USA. devika@rice.edu
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pubmed:publicationType |
Journal Article
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