10630022

Source:http://linkedlifedata.com/resource/pubmed/id/10630022

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Predicate	Object
rdf:type	pubmed:Citation
lifeskim:mentions	umls-concept:C0001721, umls-concept:C0011615, umls-concept:C0026336, umls-concept:C0206031, umls-concept:C0231330, umls-concept:C0439064, umls-concept:C0598941, umls-concept:C0681890
pubmed:issue	11
pubmed:dateCreated	2000-2-23
pubmed:abstractText	To analyze the predictive accuracy of the predictive model for affect of atopic dermatitis in infancy, from the data of the epidemiological survey, which were conducted for 10,000 of mothers of infants and children in 1993.
pubmed:language	jpn
pubmed:journal	http://linkedlifedata.com/resource/pubmed/journal/0241212
pubmed:citationSubset	IM
pubmed:status	MEDLINE
pubmed:month	Nov
pubmed:issn	0021-4884
pubmed:author	pubmed-author:HayasawaHH, pubmed-author:TakahashiKK, pubmed-author:TomitaMM
pubmed:issnType	Print
pubmed:volume	48
pubmed:owner	NLM
pubmed:authorsComplete	Y
pubmed:pagination	1222-9
pubmed:dateRevised	2006-11-15
pubmed:meshHeading	pubmed-meshheading:10630022-Child, Preschool, pubmed-meshheading:10630022-Dermatitis, Atopic, pubmed-meshheading:10630022-Epidemiologic Methods, pubmed-meshheading:10630022-Female, pubmed-meshheading:10630022-Humans, pubmed-meshheading:10630022-Infant, pubmed-meshheading:10630022-Logistic Models, pubmed-meshheading:10630022-Male, pubmed-meshheading:10630022-Models, Statistical, pubmed-meshheading:10630022-Neural Networks (Computer)
pubmed:year	1999
pubmed:articleTitle	[A predictive model for affect of atopic dermatitis in infancy by neural network and multiple logistic regression].
pubmed:affiliation	Nutritional Science Laboratory, Morinaga Milk Industry CO., LTD.
pubmed:publicationType	Journal Article, English Abstract