15093652

Source:http://linkedlifedata.com/resource/pubmed/id/15093652

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Predicate	Object
rdf:type	pubmed:Citation
lifeskim:mentions	umls-concept:C0007389, umls-concept:C0023319, umls-concept:C0733755, umls-concept:C0750572, umls-concept:C0936012
pubmed:issue	4
pubmed:dateCreated	2004-4-19
pubmed:abstractText	To compare the performance of neural networks with that of linear regression to predict the postoperative effective lens position (ELP) from preoperative biometry measurements.
pubmed:language	eng
pubmed:journal	http://linkedlifedata.com/resource/pubmed/journal/8604171
pubmed:citationSubset	IM
pubmed:status	MEDLINE
pubmed:month	Apr
pubmed:issn	0886-3350
pubmed:author	pubmed-author:DorffnerGeorgG, pubmed-author:DrexlerWolfgangW, pubmed-author:FindlOliverO, pubmed-author:StruhalWalterW
pubmed:issnType	Print
pubmed:volume	30
pubmed:owner	NLM
pubmed:authorsComplete	Y
pubmed:pagination	863-6
pubmed:dateRevised	2006-11-15
pubmed:meshHeading	pubmed-meshheading:15093652-Adult, pubmed-meshheading:15093652-Aged, pubmed-meshheading:15093652-Aged, 80 and over, pubmed-meshheading:15093652-Anterior Chamber, pubmed-meshheading:15093652-Biometry, pubmed-meshheading:15093652-Humans, pubmed-meshheading:15093652-Interferometry, pubmed-meshheading:15093652-Lens Implantation, Intraocular, pubmed-meshheading:15093652-Lenses, Intraocular, pubmed-meshheading:15093652-Light, pubmed-meshheading:15093652-Middle Aged, pubmed-meshheading:15093652-Neural Networks (Computer), pubmed-meshheading:15093652-Phacoemulsification, pubmed-meshheading:15093652-Postoperative Period, pubmed-meshheading:15093652-Refraction, Ocular, pubmed-meshheading:15093652-Visual Acuity
pubmed:year	2004
pubmed:articleTitle	Analysis of nonlinear systems to estimate intraocular lens position after cataract surgery.
pubmed:affiliation	Department of Ophthalmology, Medical University of Vienna, Währinger Strasse 13, 1090 Vienna, Austria.
pubmed:publicationType	Journal Article, Comparative Study