pubmed-article:12588581 | rdf:type | pubmed:Citation | lld:pubmed |
pubmed-article:12588581 | lifeskim:mentions | umls-concept:C1880351 | lld:lifeskim |
pubmed-article:12588581 | lifeskim:mentions | umls-concept:C0015780 | lld:lifeskim |
pubmed-article:12588581 | lifeskim:mentions | umls-concept:C0009462 | lld:lifeskim |
pubmed-article:12588581 | lifeskim:mentions | umls-concept:C0018717 | lld:lifeskim |
pubmed-article:12588581 | lifeskim:mentions | umls-concept:C2698872 | lld:lifeskim |
pubmed-article:12588581 | lifeskim:mentions | umls-concept:C0018741 | lld:lifeskim |
pubmed-article:12588581 | lifeskim:mentions | umls-concept:C1550502 | lld:lifeskim |
pubmed-article:12588581 | pubmed:issue | 3 | lld:pubmed |
pubmed-article:12588581 | pubmed:dateCreated | 2003-2-17 | lld:pubmed |
pubmed-article:12588581 | pubmed:abstractText | To identify specific clinical factors that could best predict resource use by disabled older women. | lld:pubmed |
pubmed-article:12588581 | pubmed:grant | http://linkedlifedata.com/r... | lld:pubmed |
pubmed-article:12588581 | pubmed:language | eng | lld:pubmed |
pubmed-article:12588581 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
pubmed-article:12588581 | pubmed:citationSubset | IM | lld:pubmed |
pubmed-article:12588581 | pubmed:status | MEDLINE | lld:pubmed |
pubmed-article:12588581 | pubmed:month | Mar | lld:pubmed |
pubmed-article:12588581 | pubmed:issn | 0002-8614 | lld:pubmed |
pubmed-article:12588581 | pubmed:author | pubmed-author:WeinerMichael... | lld:pubmed |
pubmed-article:12588581 | pubmed:author | pubmed-author:FriedLinda... | lld:pubmed |
pubmed-article:12588581 | pubmed:author | pubmed-author:AndersonGerar... | lld:pubmed |
pubmed-article:12588581 | pubmed:author | pubmed-author:KasperJudith... | lld:pubmed |
pubmed-article:12588581 | pubmed:author | pubmed-author:JohnsonBrent... | lld:pubmed |
pubmed-article:12588581 | pubmed:author | pubmed-author:FanMing-YuMY | lld:pubmed |
pubmed-article:12588581 | pubmed:issnType | Print | lld:pubmed |
pubmed-article:12588581 | pubmed:volume | 51 | lld:pubmed |
pubmed-article:12588581 | pubmed:owner | NLM | lld:pubmed |
pubmed-article:12588581 | pubmed:authorsComplete | Y | lld:pubmed |
pubmed-article:12588581 | pubmed:pagination | 371-9 | lld:pubmed |
pubmed-article:12588581 | pubmed:dateRevised | 2008-3-10 | lld:pubmed |
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pubmed-article:12588581 | pubmed:meshHeading | pubmed-meshheading:12588581... | lld:pubmed |
pubmed-article:12588581 | pubmed:meshHeading | pubmed-meshheading:12588581... | lld:pubmed |
pubmed-article:12588581 | pubmed:meshHeading | pubmed-meshheading:12588581... | lld:pubmed |
pubmed-article:12588581 | pubmed:year | 2003 | lld:pubmed |
pubmed-article:12588581 | pubmed:articleTitle | Predictors of health resource use by disabled older female Medicare beneficiaries living in the community. | lld:pubmed |
pubmed-article:12588581 | pubmed:affiliation | Indiana University Center for Aging Research, Indianapolis, Indiana, USA. mw@cogit.net | lld:pubmed |
pubmed-article:12588581 | pubmed:publicationType | Journal Article | lld:pubmed |
pubmed-article:12588581 | pubmed:publicationType | Research Support, U.S. Gov't, P.H.S. | lld:pubmed |
http://linkedlifedata.com/r... | pubmed:referesTo | pubmed-article:12588581 | lld:pubmed |