18696352

Source:http://linkedlifedata.com/resource/pubmed/id/18696352

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Predicate	Object
rdf:type	pubmed:Citation
lifeskim:mentions	umls-concept:C0032914, umls-concept:C0220898, umls-concept:C0681842, umls-concept:C1858460
pubmed:issue	3
pubmed:dateCreated	2008-8-12
pubmed:abstractText	To derive a prediction index based on the most salient patient history, laboratory, and clinical parameters for identifying women at high risk for developing preeclampsia (PE).
pubmed:language	eng
pubmed:journal	http://linkedlifedata.com/resource/pubmed/journal/9421297
pubmed:citationSubset	IM
pubmed:status	MEDLINE
pubmed:issn	1525-6065
pubmed:author	pubmed-author:AlbertAdelinA, pubmed-author:EmontsPatrickP, pubmed-author:FoidartJean-MichelJM, pubmed-author:GaspardUlysseU, pubmed-author:SeaksanSonteraS, pubmed-author:SeidelLaurenceL, pubmed-author:ThoumsinHenriH
pubmed:issnType	Electronic
pubmed:volume	27
pubmed:owner	NLM
pubmed:authorsComplete	Y
pubmed:pagination	237-45
pubmed:dateRevised	2009-5-12
pubmed:meshHeading	pubmed-meshheading:18696352-Adult, pubmed-meshheading:18696352-Belgium, pubmed-meshheading:18696352-Blood Volume, pubmed-meshheading:18696352-Causality, pubmed-meshheading:18696352-Female, pubmed-meshheading:18696352-Humans, pubmed-meshheading:18696352-Pre-Eclampsia, pubmed-meshheading:18696352-Pregnancy
pubmed:year	2008
pubmed:articleTitle	Prediction of maternal predisposition to preeclampsia.
pubmed:affiliation	Department of Obstetrics and Gynaecology, University of Liège, CHR Citadelle, Liège, Belgium. patrick.emonts@chrcitadelle.be
pubmed:publicationType	Journal Article