16363444

Source:http://linkedlifedata.com/resource/pubmed/id/16363444

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Subject	Predicate	Object	Context
pubmed-article:16363444	rdf:type	pubmed:Citation	lld:pubmed
pubmed-article:16363444	lifeskim:mentions	umls-concept:C0231170	lld:lifeskim
pubmed-article:16363444	lifeskim:mentions	umls-concept:C1527116	lld:lifeskim
pubmed-article:16363444	lifeskim:mentions	umls-concept:C0035647	lld:lifeskim
pubmed-article:16363444	lifeskim:mentions	umls-concept:C0026336	lld:lifeskim
pubmed-article:16363444	lifeskim:mentions	umls-concept:C0679006	lld:lifeskim
pubmed-article:16363444	lifeskim:mentions	umls-concept:C1527148	lld:lifeskim
pubmed-article:16363444	lifeskim:mentions	umls-concept:C0443252	lld:lifeskim
pubmed-article:16363444	lifeskim:mentions	umls-concept:C0682031	lld:lifeskim
pubmed-article:16363444	pubmed:dateCreated	2005-12-20	lld:pubmed
pubmed-article:16363444	pubmed:abstractText	This study presents a decision model that predicts long-term disability among construction workers.	lld:pubmed
pubmed-article:16363444	pubmed:language	eng	lld:pubmed
pubmed-article:16363444	pubmed:journal	http://linkedlifedata.com/r...	lld:pubmed
pubmed-article:16363444	pubmed:citationSubset	IM	lld:pubmed
pubmed-article:16363444	pubmed:status	MEDLINE	lld:pubmed
pubmed-article:16363444	pubmed:issn	0355-3140	lld:pubmed
pubmed-article:16363444	pubmed:author	pubmed-author:BurdorfAlexA	lld:pubmed
pubmed-article:16363444	pubmed:author	pubmed-author:Frings-Dresen...	lld:pubmed
pubmed-article:16363444	pubmed:author	pubmed-author:van...	lld:pubmed
pubmed-article:16363444	pubmed:author	pubmed-author:EldersLex A...	lld:pubmed
pubmed-article:16363444	pubmed:issnType	Print	lld:pubmed
pubmed-article:16363444	pubmed:volume	31 Suppl 2	lld:pubmed
pubmed-article:16363444	pubmed:owner	NLM	lld:pubmed
pubmed-article:16363444	pubmed:authorsComplete	Y	lld:pubmed
pubmed-article:16363444	pubmed:pagination	31-6	lld:pubmed
pubmed-article:16363444	pubmed:dateRevised	2006-11-15	lld:pubmed
pubmed-article:16363444	pubmed:meshHeading	pubmed-meshheading:16363444...	lld:pubmed
pubmed-article:16363444	pubmed:meshHeading	pubmed-meshheading:16363444...	lld:pubmed
pubmed-article:16363444	pubmed:meshHeading	pubmed-meshheading:16363444...	lld:pubmed
pubmed-article:16363444	pubmed:meshHeading	pubmed-meshheading:16363444...	lld:pubmed
pubmed-article:16363444	pubmed:meshHeading	pubmed-meshheading:16363444...	lld:pubmed
pubmed-article:16363444	pubmed:meshHeading	pubmed-meshheading:16363444...	lld:pubmed
pubmed-article:16363444	pubmed:meshHeading	pubmed-meshheading:16363444...	lld:pubmed
pubmed-article:16363444	pubmed:meshHeading	pubmed-meshheading:16363444...	lld:pubmed
pubmed-article:16363444	pubmed:meshHeading	pubmed-meshheading:16363444...	lld:pubmed
pubmed-article:16363444	pubmed:meshHeading	pubmed-meshheading:16363444...	lld:pubmed
pubmed-article:16363444	pubmed:year	2005	lld:pubmed
pubmed-article:16363444	pubmed:articleTitle	Development of a decision model to identify workers at risk of long-term disability in the construction industry.	lld:pubmed
pubmed-article:16363444	pubmed:affiliation	Department of Public Health, Erasmus MC, University Medical Center Rotterdam, PO Box 1738, NL-3000 DR Rotterdam, The Netherlands. a.burdorf@erasmusmc.nl	lld:pubmed
pubmed-article:16363444	pubmed:publicationType	Journal Article	lld:pubmed
pubmed-article:16363444	pubmed:publicationType	Research Support, Non-U.S. Gov't	lld:pubmed