Linked Life Data

20865422

Source:http://linkedlifedata.com/resource/pubmed/id/20865422

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
2011-7-11
pubmed:abstractText
To use machine learning classifiers (MLCs) to seek differences in visual fields (VFs) between normal eyes and eyes of HIV+ patients; to find the effect of immunodeficiency on VFs and to compare the effectiveness of MLCs to commonly-used Statpac global indices in analyzing standard automated perimetry (SAP).
pubmed:grant
pubmed:commentsCorrections
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pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Apr
pubmed:issn
1435-702X
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
249
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
491-8
pubmed:meshHeading
pubmed:year
2011
pubmed:articleTitle
Pattern recognition can detect subtle field defects in eyes of HIV individuals without retinitis under HAART.
pubmed:affiliation
Jacobs Retina Center at the Shiley Eye Center, University of California San Diego, La Jolla, 92093, USA.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't, Research Support, N.I.H., Extramural