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| pubmed-article:15132755 | lifeskim:mentions | umls-concept:C0011570 | lld:lifeskim |
| pubmed-article:15132755 | lifeskim:mentions | umls-concept:C0242485 | lld:lifeskim |
| pubmed-article:15132755 | lifeskim:mentions | umls-concept:C0679083 | lld:lifeskim |
| pubmed-article:15132755 | lifeskim:mentions | umls-concept:C2603343 | lld:lifeskim |
| pubmed-article:15132755 | pubmed:dateCreated | 2004-5-24 | lld:pubmed |
| pubmed-article:15132755 | pubmed:abstractText | Efficient, accurate instruments for measuring depression are increasingly important in clinical practice. We developed a computerized adaptive version of the Beck Depression Inventory (BDI). We examined its efficiency and its usefulness in identifying Major Depressive Episodes (MDE) and in measuring depression severity. | lld:pubmed |
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| pubmed-article:15132755 | pubmed:language | eng | lld:pubmed |
| pubmed-article:15132755 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:15132755 | pubmed:citationSubset | IM | lld:pubmed |
| pubmed-article:15132755 | pubmed:status | MEDLINE | lld:pubmed |
| pubmed-article:15132755 | pubmed:month | May | lld:pubmed |
| pubmed-article:15132755 | pubmed:issn | 1471-244X | lld:pubmed |
| pubmed-article:15132755 | pubmed:author | pubmed-author:FrankEllenE | lld:pubmed |
| pubmed-article:15132755 | pubmed:author | pubmed-author:GardnerWillia... | lld:pubmed |
| pubmed-article:15132755 | pubmed:author | pubmed-author:PajerKathleen... | lld:pubmed |
| pubmed-article:15132755 | pubmed:author | pubmed-author:KelleherKelly... | lld:pubmed |
| pubmed-article:15132755 | pubmed:author | pubmed-author:MammenOommenO | lld:pubmed |
| pubmed-article:15132755 | pubmed:author | pubmed-author:BuysseDanielD | lld:pubmed |
| pubmed-article:15132755 | pubmed:author | pubmed-author:ShearKatherin... | lld:pubmed |
| pubmed-article:15132755 | pubmed:issnType | Electronic | lld:pubmed |
| pubmed-article:15132755 | pubmed:day | 6 | lld:pubmed |
| pubmed-article:15132755 | pubmed:volume | 4 | lld:pubmed |
| pubmed-article:15132755 | pubmed:owner | NLM | lld:pubmed |
| pubmed-article:15132755 | pubmed:authorsComplete | Y | lld:pubmed |
| pubmed-article:15132755 | pubmed:pagination | 13 | lld:pubmed |
| pubmed-article:15132755 | pubmed:dateRevised | 2009-11-18 | lld:pubmed |
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| pubmed-article:15132755 | pubmed:year | 2004 | lld:pubmed |
| pubmed-article:15132755 | pubmed:articleTitle | Computerized adaptive measurement of depression: a simulation study. | lld:pubmed |
| pubmed-article:15132755 | pubmed:affiliation | Pediatrics, Children's Research Institute and Ohio State University, Columbus, OH, USA. gardnerw@pediatrics.ohio-state.edu | lld:pubmed |
| pubmed-article:15132755 | pubmed:publicationType | Journal Article | lld:pubmed |
| pubmed-article:15132755 | pubmed:publicationType | Comparative Study | lld:pubmed |
| pubmed-article:15132755 | pubmed:publicationType | Research Support, U.S. Gov't, P.H.S. | lld:pubmed |
| pubmed-article:15132755 | pubmed:publicationType | Research Support, Non-U.S. Gov't | lld:pubmed |
| pubmed-article:15132755 | pubmed:publicationType | Meta-Analysis | lld:pubmed |
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