Linked Life Data

11187484

Source:http://linkedlifedata.com/resource/pubmed/id/11187484

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
2001-1-18
pubmed:abstractText
A method based on artificial neural network (ANN) for monitoring aquatic bacteria which would be useful for health care is presented. Environmental micro-organisms include a large number of taxa. Some species that normally are not pathogenic can represent a risk in certain conditions, such as old people and immuno-compromised individuals. A system based on unsupervised ANN has been set up using the fatty acid profiles of standard strains, obtained by gas-chromatography, as learning data. The Kohonen output map resulted in a powerful tool for identification of fresh isolates coming from a line of the major civil water system of Genova (Italy).
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
T
pubmed:status
MEDLINE
pubmed:issn
0926-9630
pubmed:author
pubmed:issnType
Print
pubmed:volume
77
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
106-10
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed:year
2000
pubmed:articleTitle
Application of artificial neural network for the identification of fresh water bacteria.
pubmed:affiliation
Department of Informatics Systems and Telematics, University of Genova, Via Opera Pia 13, 16145 Genova, Italy.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't