Source:http://linkedlifedata.com/resource/pubmed/id/10580778
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rdf:type | |
lifeskim:mentions | |
pubmed:issue |
12
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pubmed:dateCreated |
1999-12-9
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pubmed:abstractText |
We studied 364 index presentations to the Emergency Department of a children's hospital with a diagnosis of asthma. The admission rate for this group of children was about 31%. We developed a parsimonious multiple logistic regression model to predict asthma hospital admission based on asthma severity indicators. We then evaluated the model's predictive ability using two methods of cross-validation, using the same sample that was used for the predictive model, and using data from a split sample. The logistic regression model had a predictive accuracy of 90% (95% confidence interval 85-95%). The sensitivity and specificity were 86% and 88%, respectively. Cross-validation models confirmed that the predictive ability of the model was stable. In studies with limited sample sizes, it is possible to validate a model without setting aside a split sample for cross-validation.
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pubmed:language |
eng
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pubmed:journal | |
pubmed:citationSubset |
IM
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pubmed:status |
MEDLINE
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pubmed:month |
Dec
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pubmed:issn |
0895-4356
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pubmed:author | |
pubmed:issnType |
Print
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pubmed:volume |
52
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
1157-63
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pubmed:dateRevised |
2006-11-15
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pubmed:meshHeading |
pubmed-meshheading:10580778-Acute Disease,
pubmed-meshheading:10580778-Adolescent,
pubmed-meshheading:10580778-Asthma,
pubmed-meshheading:10580778-Australia,
pubmed-meshheading:10580778-Child,
pubmed-meshheading:10580778-Child, Preschool,
pubmed-meshheading:10580778-Diagnostic Tests, Routine,
pubmed-meshheading:10580778-Female,
pubmed-meshheading:10580778-Humans,
pubmed-meshheading:10580778-Logistic Models,
pubmed-meshheading:10580778-Male,
pubmed-meshheading:10580778-Patient Admission,
pubmed-meshheading:10580778-Predictive Value of Tests,
pubmed-meshheading:10580778-Questionnaires,
pubmed-meshheading:10580778-ROC Curve,
pubmed-meshheading:10580778-Reproducibility of Results,
pubmed-meshheading:10580778-Retrospective Studies,
pubmed-meshheading:10580778-Sensitivity and Specificity,
pubmed-meshheading:10580778-Severity of Illness Index
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pubmed:year |
1999
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pubmed:articleTitle |
Validation of a predictive model for asthma admission in children: how accurate is it for predicting admissions?
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pubmed:affiliation |
Epidemiology Unit, Southwestern Sydney Area Health Service, Australia. t.chey@unsw.edu.au
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pubmed:publicationType |
Journal Article,
Comparative Study
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