Linked Life Data

10179579

Source:http://linkedlifedata.com/resource/pubmed/id/10179579

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
1998-6-24
pubmed:abstractText
The present work aims to obtain groups of patients with similar profiles of p24 antigen concentration and of CD4+ cell counts. These two markers were chosen because their evaluation represents a significant step in the clinical follow up of HIV-1 infected subjects. The classifications were obtained by a Kohonen neural net trained in three ways: with p24 antigen profiles only, with CD4+ cell count profiles only and with both sets of profiles. The results show that the clustering fashion of the two parameters closely resembles the clustering fashion of CD4+ only rather than the one of p24Ag, both with reference to cluster formation and with reference to distance among clusters.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
T
pubmed:chemical
pubmed:status
MEDLINE
pubmed:issn
0926-9630
pubmed:author
pubmed:issnType
Print
pubmed:volume
43 Pt A
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
386-90
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed:year
1997
pubmed:articleTitle
Application of neural networks to the follow-up of AIDS patients.
pubmed:affiliation
DIST, Department of Communications Computer and System Sciences, University of Genova, Italy.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't