| pubmed-article:15811787 | rdf:type | pubmed:Citation | lld:pubmed |
| pubmed-article:15811787 | lifeskim:mentions | umls-concept:C0751956 | lld:lifeskim |
| pubmed-article:15811787 | lifeskim:mentions | umls-concept:C1274040 | lld:lifeskim |
| pubmed-article:15811787 | lifeskim:mentions | umls-concept:C0681842 | lld:lifeskim |
| pubmed-article:15811787 | lifeskim:mentions | umls-concept:C0449851 | lld:lifeskim |
| pubmed-article:15811787 | lifeskim:mentions | umls-concept:C0205088 | lld:lifeskim |
| pubmed-article:15811787 | pubmed:issue | 3 | lld:pubmed |
| pubmed-article:15811787 | pubmed:dateCreated | 2005-4-6 | lld:pubmed |
| pubmed-article:15811787 | pubmed:abstractText | Acute cerebral stroke is a frequent cause of death and the major cause of adult neurological disability in the western world. Thrombolysis is the only established treatment of ischemic stroke; however, its use carries a substantial risk of symptomatic intracerebral hemorrhage. A clinical tool to guide the use of thrombolysis would be very valuable. One of the major goals of such a tool would be the identification of potentially salvageable tissue. This requires an accurate prediction of the extent of infarction if untreated. In this study, we investigate the applicability of highly flexible instance-based (IB) methods for such predictions. | lld:pubmed |
| pubmed-article:15811787 | pubmed:grant | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:15811787 | pubmed:language | eng | lld:pubmed |
| pubmed-article:15811787 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:15811787 | pubmed:citationSubset | IM | lld:pubmed |
| pubmed-article:15811787 | pubmed:status | MEDLINE | lld:pubmed |
| pubmed-article:15811787 | pubmed:month | Mar | lld:pubmed |
| pubmed-article:15811787 | pubmed:issn | 0933-3657 | lld:pubmed |
| pubmed-article:15811787 | pubmed:author | pubmed-author:WuOnaO | lld:pubmed |
| pubmed-article:15811787 | pubmed:author | pubmed-author:ØstergaardLei... | lld:pubmed |
| pubmed-article:15811787 | pubmed:author | pubmed-author:SorensenA... | lld:pubmed |
| pubmed-article:15811787 | pubmed:author | pubmed-author:KoroshetzWalt... | lld:pubmed |
| pubmed-article:15811787 | pubmed:author | pubmed-author:GottrupChrist... | lld:pubmed |
| pubmed-article:15811787 | pubmed:author | pubmed-author:ThomsenKnudK | lld:pubmed |
| pubmed-article:15811787 | pubmed:author | pubmed-author:LochtPeterP | lld:pubmed |
| pubmed-article:15811787 | pubmed:issnType | Print | lld:pubmed |
| pubmed-article:15811787 | pubmed:volume | 33 | lld:pubmed |
| pubmed-article:15811787 | pubmed:owner | NLM | lld:pubmed |
| pubmed-article:15811787 | pubmed:authorsComplete | Y | lld:pubmed |
| pubmed-article:15811787 | pubmed:pagination | 223-36 | lld:pubmed |
| pubmed-article:15811787 | pubmed:dateRevised | 2007-11-15 | lld:pubmed |
| pubmed-article:15811787 | pubmed:meshHeading | pubmed-meshheading:15811787... | lld:pubmed |
| pubmed-article:15811787 | pubmed:meshHeading | pubmed-meshheading:15811787... | lld:pubmed |
| pubmed-article:15811787 | pubmed:meshHeading | pubmed-meshheading:15811787... | lld:pubmed |
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| pubmed-article:15811787 | pubmed:meshHeading | pubmed-meshheading:15811787... | lld:pubmed |
| pubmed-article:15811787 | pubmed:meshHeading | pubmed-meshheading:15811787... | lld:pubmed |
| pubmed-article:15811787 | pubmed:meshHeading | pubmed-meshheading:15811787... | lld:pubmed |
| pubmed-article:15811787 | pubmed:meshHeading | pubmed-meshheading:15811787... | lld:pubmed |
| pubmed-article:15811787 | pubmed:meshHeading | pubmed-meshheading:15811787... | lld:pubmed |
| pubmed-article:15811787 | pubmed:meshHeading | pubmed-meshheading:15811787... | lld:pubmed |
| pubmed-article:15811787 | pubmed:year | 2005 | lld:pubmed |
| pubmed-article:15811787 | pubmed:articleTitle | Applying instance-based techniques to prediction of final outcome in acute stroke. | lld:pubmed |
| pubmed-article:15811787 | pubmed:affiliation | DIMAC A/S, Højbjerg, Denmark. cgottrup@pet.auh.dk | lld:pubmed |
| pubmed-article:15811787 | pubmed:publicationType | Journal Article | lld:pubmed |
| pubmed-article:15811787 | pubmed:publicationType | Research Support, U.S. Gov't, P.H.S. | lld:pubmed |
| pubmed-article:15811787 | pubmed:publicationType | Research Support, Non-U.S. Gov't | lld:pubmed |
