pubmed-article:14734949 | rdf:type | pubmed:Citation | lld:pubmed |
pubmed-article:14734949 | lifeskim:mentions | umls-concept:C0013227 | lld:lifeskim |
pubmed-article:14734949 | lifeskim:mentions | umls-concept:C0042153 | lld:lifeskim |
pubmed-article:14734949 | lifeskim:mentions | umls-concept:C0032659 | lld:lifeskim |
pubmed-article:14734949 | lifeskim:mentions | umls-concept:C2936316 | lld:lifeskim |
pubmed-article:14734949 | lifeskim:mentions | umls-concept:C0178672 | lld:lifeskim |
pubmed-article:14734949 | lifeskim:mentions | umls-concept:C0033137 | lld:lifeskim |
pubmed-article:14734949 | lifeskim:mentions | umls-concept:C0025663 | lld:lifeskim |
pubmed-article:14734949 | lifeskim:mentions | umls-concept:C0011900 | lld:lifeskim |
pubmed-article:14734949 | lifeskim:mentions | umls-concept:C1707455 | lld:lifeskim |
pubmed-article:14734949 | lifeskim:mentions | umls-concept:C0035201 | lld:lifeskim |
pubmed-article:14734949 | lifeskim:mentions | umls-concept:C1705938 | lld:lifeskim |
pubmed-article:14734949 | lifeskim:mentions | umls-concept:C1527178 | lld:lifeskim |
pubmed-article:14734949 | pubmed:issue | 2 | lld:pubmed |
pubmed-article:14734949 | pubmed:dateCreated | 2004-1-21 | lld:pubmed |
pubmed-article:14734949 | pubmed:abstractText | Valid methods of predicting resource utilization in primary care populations are needed. We compared the predictive validity of a method based on diagnoses from administrative data (Adjusted Clinical Groups [ACGs]) and a method using medication profiles (Chronic Disease Index [CDI]). | lld:pubmed |
pubmed-article:14734949 | pubmed:language | eng | lld:pubmed |
pubmed-article:14734949 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
pubmed-article:14734949 | pubmed:citationSubset | IM | lld:pubmed |
pubmed-article:14734949 | pubmed:status | MEDLINE | lld:pubmed |
pubmed-article:14734949 | pubmed:month | Feb | lld:pubmed |
pubmed-article:14734949 | pubmed:issn | 0025-7079 | lld:pubmed |
pubmed-article:14734949 | pubmed:author | pubmed-author:BarnettMitche... | lld:pubmed |
pubmed-article:14734949 | pubmed:author | pubmed-author:RosenthalGary... | lld:pubmed |
pubmed-article:14734949 | pubmed:author | pubmed-author:WahlsTerry... | lld:pubmed |
pubmed-article:14734949 | pubmed:issnType | Print | lld:pubmed |
pubmed-article:14734949 | pubmed:volume | 42 | lld:pubmed |
pubmed-article:14734949 | pubmed:owner | NLM | lld:pubmed |
pubmed-article:14734949 | pubmed:authorsComplete | Y | lld:pubmed |
pubmed-article:14734949 | pubmed:pagination | 123-8 | lld:pubmed |
pubmed-article:14734949 | pubmed:dateRevised | 2006-11-15 | lld:pubmed |
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pubmed-article:14734949 | pubmed:meshHeading | pubmed-meshheading:14734949... | lld:pubmed |
pubmed-article:14734949 | pubmed:year | 2004 | lld:pubmed |
pubmed-article:14734949 | pubmed:articleTitle | Predicting resource utilization in a Veterans Health Administration primary care population: comparison of methods based on diagnoses and medications. | lld:pubmed |
pubmed-article:14734949 | pubmed:affiliation | Medical Service, Iowa City VA Medical Center, Iowa City, Iowa 52242, USA. | lld:pubmed |
pubmed-article:14734949 | pubmed:publicationType | Journal Article | lld:pubmed |
pubmed-article:14734949 | pubmed:publicationType | Comparative Study | lld:pubmed |
pubmed-article:14734949 | pubmed:publicationType | Research Support, U.S. Gov't, Non-P.H.S. | lld:pubmed |
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