Linked Life Data

19885107

Source:http://linkedlifedata.com/resource/pubmed/id/19885107

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
2009-11-3
pubmed:abstractText
Selectivity is paramount for the successful implementation of noninvasive spectroscopic sensing for the painless measurement of blood glucose concentrations in people with diabetes. Selectivity issues are explored for different multivariate calibration models based on noninvasive near-infrared spectra collected from an animal model.
pubmed:commentsCorrections
pubmed:language
eng
pubmed:journal
pubmed:status
PubMed-not-MEDLINE
pubmed:month
Jul
pubmed:issn
1932-2968
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
1
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
454-62
pubmed:dateRevised
2010-9-28
pubmed:year
2007
pubmed:articleTitle
Selectivity assessment of noninvasive glucose measurements based on analysis of multivariate calibration vectors.
pubmed:affiliation
Department of Chemistry and Optical Science and Technology Center, University of Iowa, Iowa City, Iowa 52242, USA. mark-arnold@uiowa.edu
pubmed:publicationType
Journal Article