16859134

Source:http://linkedlifedata.com/resource/pubmed/id/16859134

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Predicate	Object
rdf:type	pubmed:Citation
lifeskim:mentions	umls-concept:C0205721, umls-concept:C0582147, umls-concept:C0598941, umls-concept:C0681842, umls-concept:C2004457
pubmed:issue	3
pubmed:dateCreated	2006-7-24
pubmed:abstractText	To establish a model based on artificial neural network in the prediction of nosocomial infection risk.
pubmed:language	chi
pubmed:journal	http://linkedlifedata.com/resource/pubmed/journal/101230586
pubmed:citationSubset	IM
pubmed:status	MEDLINE
pubmed:month	Jun
pubmed:issn	1672-7347
pubmed:author	pubmed-author:ChuJJ, pubmed-author:HuMingM, pubmed-author:SunZhen-qiuZQ, pubmed-author:XuLin-yongLY, pubmed-author:XuYong-yongYY
pubmed:issnType	Print
pubmed:volume	31
pubmed:owner	NLM
pubmed:authorsComplete	Y
pubmed:pagination	404-7
pubmed:meshHeading	pubmed-meshheading:16859134-Cross Infection, pubmed-meshheading:16859134-Female, pubmed-meshheading:16859134-Humans, pubmed-meshheading:16859134-Male, pubmed-meshheading:16859134-Neural Networks (Computer), pubmed-meshheading:16859134-Risk Assessment, pubmed-meshheading:16859134-Risk Factors
pubmed:year	2006
pubmed:articleTitle	[Artificial neural network in the prediction of nosocomial infection risk].
pubmed:affiliation	Department of Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China.
pubmed:publicationType	Journal Article, English Abstract