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rdf:type |
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lifeskim:mentions |
umls-concept:C0011065,
umls-concept:C0019994,
umls-concept:C0026336,
umls-concept:C0026339,
umls-concept:C0035647,
umls-concept:C0205210,
umls-concept:C0242356,
umls-concept:C1511726,
umls-concept:C1524063,
umls-concept:C1707455,
umls-concept:C2698872
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pubmed:issue |
7602
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pubmed:dateCreated |
2007-5-18
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pubmed:abstractText |
To compare risk prediction models for death in hospital based on an administrative database with published results based on data derived from three national clinical databases: the national cardiac surgical database, the national vascular database and the colorectal cancer study.
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pubmed:commentsCorrections |
http://linkedlifedata.com/resource/pubmed/commentcorrection/17452389-10113569,
http://linkedlifedata.com/resource/pubmed/commentcorrection/17452389-10131630,
http://linkedlifedata.com/resource/pubmed/commentcorrection/17452389-11782764,
http://linkedlifedata.com/resource/pubmed/commentcorrection/17452389-12027988,
http://linkedlifedata.com/resource/pubmed/commentcorrection/17452389-14630754,
http://linkedlifedata.com/resource/pubmed/commentcorrection/17452389-15105304,
http://linkedlifedata.com/resource/pubmed/commentcorrection/17452389-15205292,
http://linkedlifedata.com/resource/pubmed/commentcorrection/17452389-15617955,
http://linkedlifedata.com/resource/pubmed/commentcorrection/17452389-15655428,
http://linkedlifedata.com/resource/pubmed/commentcorrection/17452389-15655429,
http://linkedlifedata.com/resource/pubmed/commentcorrection/17452389-15705669,
http://linkedlifedata.com/resource/pubmed/commentcorrection/17452389-16485052,
http://linkedlifedata.com/resource/pubmed/commentcorrection/17452389-17175183,
http://linkedlifedata.com/resource/pubmed/commentcorrection/17452389-17510106,
http://linkedlifedata.com/resource/pubmed/commentcorrection/17452389-7888833,
http://linkedlifedata.com/resource/pubmed/commentcorrection/17452389-9160492
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pubmed:language |
eng
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pubmed:journal |
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pubmed:citationSubset |
AIM
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pubmed:status |
MEDLINE
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pubmed:month |
May
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pubmed:issn |
1468-5833
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pubmed:author |
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pubmed:issnType |
Electronic
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pubmed:day |
19
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pubmed:volume |
334
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
1044
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pubmed:dateRevised |
2009-11-18
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pubmed:meshHeading |
pubmed-meshheading:17452389-Adult,
pubmed-meshheading:17452389-Aged,
pubmed-meshheading:17452389-Aortic Aneurysm, Abdominal,
pubmed-meshheading:17452389-Aortic Rupture,
pubmed-meshheading:17452389-Colorectal Neoplasms,
pubmed-meshheading:17452389-Data Collection,
pubmed-meshheading:17452389-Databases as Topic,
pubmed-meshheading:17452389-England,
pubmed-meshheading:17452389-Health Services Administration,
pubmed-meshheading:17452389-Hospital Mortality,
pubmed-meshheading:17452389-Humans,
pubmed-meshheading:17452389-Middle Aged,
pubmed-meshheading:17452389-Models, Statistical,
pubmed-meshheading:17452389-Odds Ratio,
pubmed-meshheading:17452389-Professional Practice,
pubmed-meshheading:17452389-Risk Assessment,
pubmed-meshheading:17452389-Risk Factors,
pubmed-meshheading:17452389-State Medicine
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pubmed:year |
2007
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pubmed:articleTitle |
Use of administrative data or clinical databases as predictors of risk of death in hospital: comparison of models.
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pubmed:affiliation |
Dr Foster Unit, Imperial College London, London EC1A 9LA. p.aylin@imperial.ac.uk
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pubmed:publicationType |
Journal Article,
Comparative Study,
Research Support, Non-U.S. Gov't
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