16779335

Source:http://linkedlifedata.com/resource/pubmed/id/16779335

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Predicate	Object
rdf:type	pubmed:Citation
lifeskim:mentions	umls-concept:C0026175, umls-concept:C0239946, umls-concept:C0542560, umls-concept:C0681842, umls-concept:C2348519
pubmed:dateCreated	2006-6-16
pubmed:language	eng
pubmed:journal	http://linkedlifedata.com/resource/pubmed/journal/101209213
pubmed:citationSubset	IM
pubmed:status	MEDLINE
pubmed:issn	1942-597X
pubmed:author	pubmed-author:GuptaRohitR, pubmed-author:KarypisGeorgeG, pubmed-author:KumarVipinV, pubmed-author:MayerBenjamin WBW, pubmed-author:RangwalaHuzefa SHS, pubmed-author:SrivastavaJaideepJ, pubmed-author:de GroenPiet CPC
pubmed:issnType	Electronic
pubmed:owner	NLM
pubmed:authorsComplete	Y
pubmed:pagination	1048
pubmed:dateRevised	2009-3-9
pubmed:meshHeading	pubmed-meshheading:16779335-Decision Support Systems, Clinical, pubmed-meshheading:16779335-Diagnosis, Computer-Assisted, pubmed-meshheading:16779335-Humans, pubmed-meshheading:16779335-Liver Cirrhosis
pubmed:year	2005
pubmed:articleTitle	Feature mining for prediction of degree of liver fibrosis.
pubmed:affiliation	University of Minnesota, Minneapolis, MN, USA.
pubmed:publicationType	Journal Article