16363444

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

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Predicate	Object
rdf:type	pubmed:Citation
lifeskim:mentions	umls-concept:C0026336, umls-concept:C0035647, umls-concept:C0231170, umls-concept:C0443252, umls-concept:C0679006, umls-concept:C0682031, umls-concept:C1527116, umls-concept:C1527148
pubmed:dateCreated	2005-12-20
pubmed:abstractText	This study presents a decision model that predicts long-term disability among construction workers.
pubmed:language	eng
pubmed:journal	http://linkedlifedata.com/resource/pubmed/journal/7511540
pubmed:citationSubset	IM
pubmed:status	MEDLINE
pubmed:issn	0355-3140
pubmed:author	pubmed-author:BurdorfAlexA, pubmed-author:EldersLex A MLA, pubmed-author:Frings-DresenMonique H WMH, pubmed-author:van DuivenboodenCorC
pubmed:issnType	Print
pubmed:volume	31 Suppl 2
pubmed:owner	NLM
pubmed:authorsComplete	Y
pubmed:pagination	31-6
pubmed:dateRevised	2006-11-15
pubmed:meshHeading	pubmed-meshheading:16363444-Adult, pubmed-meshheading:16363444-Decision Support Techniques, pubmed-meshheading:16363444-Disabled Persons, pubmed-meshheading:16363444-Facility Design and Construction, pubmed-meshheading:16363444-Forecasting, pubmed-meshheading:16363444-Humans, pubmed-meshheading:16363444-Logistic Models, pubmed-meshheading:16363444-Middle Aged, pubmed-meshheading:16363444-Risk Assessment, pubmed-meshheading:16363444-Risk Factors
pubmed:year	2005
pubmed:articleTitle	Development of a decision model to identify workers at risk of long-term disability in the construction industry.
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
pubmed:publicationType	Journal Article, Research Support, Non-U.S. Gov't