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| pubmed-article:17452389 | lifeskim:mentions | umls-concept:C1524063 | lld:lifeskim |
| pubmed-article:17452389 | pubmed:issue | 7602 | lld:pubmed |
| pubmed-article:17452389 | pubmed:dateCreated | 2007-5-18 | lld:pubmed |
| pubmed-article:17452389 | 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. | lld:pubmed |
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| pubmed-article:17452389 | pubmed:language | eng | lld:pubmed |
| pubmed-article:17452389 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:17452389 | pubmed:citationSubset | AIM | lld:pubmed |
| pubmed-article:17452389 | pubmed:status | MEDLINE | lld:pubmed |
| pubmed-article:17452389 | pubmed:month | May | lld:pubmed |
| pubmed-article:17452389 | pubmed:issn | 1468-5833 | lld:pubmed |
| pubmed-article:17452389 | pubmed:author | pubmed-author:MajeedAzeemA | lld:pubmed |
| pubmed-article:17452389 | pubmed:author | pubmed-author:BottleAlexA | lld:pubmed |
| pubmed-article:17452389 | pubmed:author | pubmed-author:AylinPaulP | lld:pubmed |
| pubmed-article:17452389 | pubmed:issnType | Electronic | lld:pubmed |
| pubmed-article:17452389 | pubmed:day | 19 | lld:pubmed |
| pubmed-article:17452389 | pubmed:volume | 334 | lld:pubmed |
| pubmed-article:17452389 | pubmed:owner | NLM | lld:pubmed |
| pubmed-article:17452389 | pubmed:authorsComplete | Y | lld:pubmed |
| pubmed-article:17452389 | pubmed:pagination | 1044 | lld:pubmed |
| pubmed-article:17452389 | pubmed:dateRevised | 2009-11-18 | lld:pubmed |
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| pubmed-article:17452389 | pubmed:year | 2007 | lld:pubmed |
| pubmed-article:17452389 | pubmed:articleTitle | Use of administrative data or clinical databases as predictors of risk of death in hospital: comparison of models. | lld:pubmed |
| pubmed-article:17452389 | pubmed:affiliation | Dr Foster Unit, Imperial College London, London EC1A 9LA. p.aylin@imperial.ac.uk | lld:pubmed |
| pubmed-article:17452389 | pubmed:publicationType | Journal Article | lld:pubmed |
| pubmed-article:17452389 | pubmed:publicationType | Comparative Study | lld:pubmed |
| pubmed-article:17452389 | pubmed:publicationType | Research Support, Non-U.S. Gov't | lld:pubmed |
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