17226089

Source:http://linkedlifedata.com/resource/pubmed/id/17226089

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Predicate	Object
rdf:type	pubmed:Citation
lifeskim:mentions	umls-concept:C0013839, umls-concept:C0020792, umls-concept:C0022876, umls-concept:C0042149, umls-concept:C0086418, umls-concept:C0242406, umls-concept:C1511726, umls-concept:C1515273, umls-concept:C1705313, umls-concept:C2004457
pubmed:issue	3
pubmed:dateCreated	2007-2-19
pubmed:abstractText	To use artificial neural networks (ANNs) on uterine electromyography (EMG) data to classify term/preterm labor/non-labor pregnant patients.
pubmed:grant	http://linkedlifedata.com/resource/pubmed/grant/R01-HD037480
pubmed:language	eng
pubmed:journal	http://linkedlifedata.com/resource/pubmed/journal/0361512
pubmed:citationSubset	IM
pubmed:status	MEDLINE
pubmed:month	Mar
pubmed:issn	0090-6964
pubmed:author	pubmed-author:GarfieldRobert ERE, pubmed-author:ManerWilliam LWL
pubmed:issnType	Print
pubmed:volume	35
pubmed:owner	NLM
pubmed:authorsComplete	Y
pubmed:pagination	465-73
pubmed:dateRevised	2007-12-3
pubmed:meshHeading	pubmed-meshheading:17226089-Adolescent, pubmed-meshheading:17226089-Adult, pubmed-meshheading:17226089-Electromyography, pubmed-meshheading:17226089-Female, pubmed-meshheading:17226089-Humans, pubmed-meshheading:17226089-Labor, Obstetric, pubmed-meshheading:17226089-Neural Networks (Computer), pubmed-meshheading:17226089-Obstetric Labor, Premature, pubmed-meshheading:17226089-Pregnancy, pubmed-meshheading:17226089-Uterus
pubmed:year	2007
pubmed:articleTitle	Identification of human term and preterm labor using artificial neural networks on uterine electromyography data.
pubmed:affiliation	Department of Obstetrics and Gynecology, University of Texas Medical Branch, 301 University, Route 1062, Galveston, TX 77555, USA.
pubmed:publicationType	Journal Article, Research Support, N.I.H., Extramural