Statements in which the resource exists.
SubjectPredicateObjectContext
pubmed-article:18625922rdf:typepubmed:Citationlld:pubmed
pubmed-article:18625922lifeskim:mentionsumls-concept:C0969726lld:lifeskim
pubmed-article:18625922lifeskim:mentionsumls-concept:C0026336lld:lifeskim
pubmed-article:18625922lifeskim:mentionsumls-concept:C1527148lld:lifeskim
pubmed-article:18625922lifeskim:mentionsumls-concept:C0175673lld:lifeskim
pubmed-article:18625922lifeskim:mentionsumls-concept:C1519941lld:lifeskim
pubmed-article:18625922lifeskim:mentionsumls-concept:C0009248lld:lifeskim
pubmed-article:18625922lifeskim:mentionsumls-concept:C0439234lld:lifeskim
pubmed-article:18625922lifeskim:mentionsumls-concept:C0809949lld:lifeskim
pubmed-article:18625922pubmed:issue13lld:pubmed
pubmed-article:18625922pubmed:dateCreated2008-7-15lld:pubmed
pubmed-article:18625922pubmed:abstractTextCurrent international health policy has emphasized the importance of managing long-term conditions in the community with the aim of preventing emergency hospitalizations. Previous algorithms and rules have been developed but are limited to those older than 65 years and generally only for readmission. Our aim was to develop an algorithm to predict emergency hospital admissions in the whole population of those 40 years or older.lld:pubmed
pubmed-article:18625922pubmed:languageenglld:pubmed
pubmed-article:18625922pubmed:journalhttp://linkedlifedata.com/r...lld:pubmed
pubmed-article:18625922pubmed:citationSubsetAIMlld:pubmed
pubmed-article:18625922pubmed:statusMEDLINElld:pubmed
pubmed-article:18625922pubmed:monthJullld:pubmed
pubmed-article:18625922pubmed:issn1538-3679lld:pubmed
pubmed-article:18625922pubmed:authorpubmed-author:MorrisAndrew...lld:pubmed
pubmed-article:18625922pubmed:authorpubmed-author:DonnanPeter...lld:pubmed
pubmed-article:18625922pubmed:authorpubmed-author:DorwardDavid...lld:pubmed
pubmed-article:18625922pubmed:authorpubmed-author:MutchBillBlld:pubmed
pubmed-article:18625922pubmed:issnTypeElectroniclld:pubmed
pubmed-article:18625922pubmed:day14lld:pubmed
pubmed-article:18625922pubmed:volume168lld:pubmed
pubmed-article:18625922pubmed:ownerNLMlld:pubmed
pubmed-article:18625922pubmed:authorsCompleteYlld:pubmed
pubmed-article:18625922pubmed:pagination1416-22lld:pubmed
pubmed-article:18625922pubmed:meshHeadingpubmed-meshheading:18625922...lld:pubmed
pubmed-article:18625922pubmed:meshHeadingpubmed-meshheading:18625922...lld:pubmed
pubmed-article:18625922pubmed:meshHeadingpubmed-meshheading:18625922...lld:pubmed
pubmed-article:18625922pubmed:meshHeadingpubmed-meshheading:18625922...lld:pubmed
pubmed-article:18625922pubmed:meshHeadingpubmed-meshheading:18625922...lld:pubmed
pubmed-article:18625922pubmed:meshHeadingpubmed-meshheading:18625922...lld:pubmed
pubmed-article:18625922pubmed:meshHeadingpubmed-meshheading:18625922...lld:pubmed
pubmed-article:18625922pubmed:meshHeadingpubmed-meshheading:18625922...lld:pubmed
pubmed-article:18625922pubmed:meshHeadingpubmed-meshheading:18625922...lld:pubmed
pubmed-article:18625922pubmed:meshHeadingpubmed-meshheading:18625922...lld:pubmed
pubmed-article:18625922pubmed:meshHeadingpubmed-meshheading:18625922...lld:pubmed
pubmed-article:18625922pubmed:meshHeadingpubmed-meshheading:18625922...lld:pubmed
pubmed-article:18625922pubmed:meshHeadingpubmed-meshheading:18625922...lld:pubmed
pubmed-article:18625922pubmed:meshHeadingpubmed-meshheading:18625922...lld:pubmed
pubmed-article:18625922pubmed:meshHeadingpubmed-meshheading:18625922...lld:pubmed
pubmed-article:18625922pubmed:meshHeadingpubmed-meshheading:18625922...lld:pubmed
pubmed-article:18625922pubmed:meshHeadingpubmed-meshheading:18625922...lld:pubmed
pubmed-article:18625922pubmed:meshHeadingpubmed-meshheading:18625922...lld:pubmed
pubmed-article:18625922pubmed:meshHeadingpubmed-meshheading:18625922...lld:pubmed
pubmed-article:18625922pubmed:meshHeadingpubmed-meshheading:18625922...lld:pubmed
pubmed-article:18625922pubmed:meshHeadingpubmed-meshheading:18625922...lld:pubmed
pubmed-article:18625922pubmed:meshHeadingpubmed-meshheading:18625922...lld:pubmed
pubmed-article:18625922pubmed:meshHeadingpubmed-meshheading:18625922...lld:pubmed
pubmed-article:18625922pubmed:meshHeadingpubmed-meshheading:18625922...lld:pubmed
pubmed-article:18625922pubmed:year2008lld:pubmed
pubmed-article:18625922pubmed:articleTitleDevelopment and validation of a model for predicting emergency admissions over the next year (PEONY): a UK historical cohort study.lld:pubmed
pubmed-article:18625922pubmed:affiliationEpidemiology and Biostatistics, Tayside Centre for General Practice, Community Health Sciences, University of Dundee, Dundee, Scotland. p.t.donnan@chs.dundee.ac.uklld:pubmed
pubmed-article:18625922pubmed:publicationTypeJournal Articlelld:pubmed
pubmed-article:18625922pubmed:publicationTypeResearch Support, Non-U.S. Gov'tlld:pubmed
pubmed-article:18625922pubmed:publicationTypeValidation Studieslld:pubmed
http://linkedlifedata.com/r...pubmed:referesTopubmed-article:18625922lld:pubmed
http://linkedlifedata.com/r...pubmed:referesTopubmed-article:18625922lld:pubmed
http://linkedlifedata.com/r...pubmed:referesTopubmed-article:18625922lld:pubmed