14504047

Source:http://linkedlifedata.com/resource/pubmed/id/14504047

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Subject	Predicate	Object	Context
pubmed-article:14504047	rdf:type	pubmed:Citation	lld:pubmed
pubmed-article:14504047	lifeskim:mentions	umls-concept:C0006142	lld:lifeskim
pubmed-article:14504047	lifeskim:mentions	umls-concept:C0033325	lld:lifeskim
pubmed-article:14504047	lifeskim:mentions	umls-concept:C0035647	lld:lifeskim
pubmed-article:14504047	lifeskim:mentions	umls-concept:C0598941	lld:lifeskim
pubmed-article:14504047	lifeskim:mentions	umls-concept:C0279781	lld:lifeskim
pubmed-article:14504047	lifeskim:mentions	umls-concept:C1521761	lld:lifeskim
pubmed-article:14504047	lifeskim:mentions	umls-concept:C1979963	lld:lifeskim
pubmed-article:14504047	lifeskim:mentions	umls-concept:C0868995	lld:lifeskim
pubmed-article:14504047	lifeskim:mentions	umls-concept:C2003903	lld:lifeskim
pubmed-article:14504047	lifeskim:mentions	umls-concept:C1516048	lld:lifeskim
pubmed-article:14504047	lifeskim:mentions	umls-concept:C0205225	lld:lifeskim
pubmed-article:14504047	pubmed:issue	10	lld:pubmed
pubmed-article:14504047	pubmed:dateCreated	2003-9-23	lld:pubmed
pubmed-article:14504047	pubmed:abstractText	The present study investigated complex time-dependent effects of routinely assessed factors on the risk of breast cancer recurrence over follow-up time, with a partial logistic artificial neural network (PLANN) model.	lld:pubmed
pubmed-article:14504047	pubmed:language	eng	lld:pubmed
pubmed-article:14504047	pubmed:journal	http://linkedlifedata.com/r...	lld:pubmed
pubmed-article:14504047	pubmed:citationSubset	IM	lld:pubmed
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pubmed-article:14504047	pubmed:chemical	http://linkedlifedata.com/r...	lld:pubmed
pubmed-article:14504047	pubmed:status	MEDLINE	lld:pubmed
pubmed-article:14504047	pubmed:month	Oct	lld:pubmed
pubmed-article:14504047	pubmed:issn	0923-7534	lld:pubmed
pubmed-article:14504047	pubmed:author	pubmed-author:MarubiniEE	lld:pubmed
pubmed-article:14504047	pubmed:author	pubmed-author:BoracchiPP	lld:pubmed
pubmed-article:14504047	pubmed:author	pubmed-author:CoradiniDD	lld:pubmed
pubmed-article:14504047	pubmed:author	pubmed-author:BiganzoliEE	lld:pubmed
pubmed-article:14504047	pubmed:author	pubmed-author:Grazia...	lld:pubmed
pubmed-article:14504047	pubmed:issnType	Print	lld:pubmed
pubmed-article:14504047	pubmed:volume	14	lld:pubmed
pubmed-article:14504047	pubmed:owner	NLM	lld:pubmed
pubmed-article:14504047	pubmed:authorsComplete	Y	lld:pubmed
pubmed-article:14504047	pubmed:pagination	1484-93	lld:pubmed
pubmed-article:14504047	pubmed:dateRevised	2006-11-15	lld:pubmed
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pubmed-article:14504047	pubmed:meshHeading	pubmed-meshheading:14504047...	lld:pubmed
pubmed-article:14504047	pubmed:meshHeading	pubmed-meshheading:14504047...	lld:pubmed
pubmed-article:14504047	pubmed:meshHeading	pubmed-meshheading:14504047...	lld:pubmed
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pubmed-article:14504047	pubmed:meshHeading	pubmed-meshheading:14504047...	lld:pubmed
pubmed-article:14504047	pubmed:year	2003	lld:pubmed
pubmed-article:14504047	pubmed:articleTitle	Prognosis in node-negative primary breast cancer: a neural network analysis of risk profiles using routinely assessed factors.	lld:pubmed
pubmed-article:14504047	pubmed:affiliation	Unità di Statistica Medica e Biometria, Istituto Nazionale per lo Studio e la Cura dei Tumori, Milan, Italy. elia.biganzoli@istitutotumori.mi.it	lld:pubmed
pubmed-article:14504047	pubmed:publicationType	Journal Article	lld:pubmed
pubmed-article:14504047	pubmed:publicationType	Research Support, Non-U.S. Gov't	lld:pubmed
http://linkedlifedata.com/r...	pubmed:referesTo	pubmed-article:14504047	lld:pubmed