Application of artificial neural network for the identification of fresh water bacteria.
Identifieur interne : 002406 ( Main/Exploration ); précédent : 002405; suivant : 002407Application of artificial neural network for the identification of fresh water bacteria.
Auteurs : M. Giacomini [Italie] ; C. Ruggiero ; F. Caneva ; S. BertoneSource :
- Studies in health technology and informatics [ 0926-9630 ] ; 2000.
Descripteurs français
- Wicri :
- geographic : Italie.
English descriptors
- KwdEn :
- MESH :
- geographic : Italy.
- classification : Bacteria.
- isolation & purification : Bacteria.
- microbiology : Fresh Water.
- Bacteriological Techniques, Humans, Neural Networks (Computer), Water Microbiology.
Abstract
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: 11187484
Affiliations:
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Le document en format XML
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Bertone</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2000">2000</date><idno type="RBID">pubmed:11187484</idno><idno type="pmid">11187484</idno><idno type="wicri:Area/PubMed/Corpus">000647</idno><idno type="wicri:Area/PubMed/Curation">000647</idno><idno type="wicri:Area/PubMed/Checkpoint">000619</idno><idno type="wicri:Area/Ncbi/Merge">000060</idno><idno type="wicri:Area/Ncbi/Curation">000060</idno><idno type="wicri:Area/Ncbi/Checkpoint">000060</idno><idno type="wicri:doubleKey">0926-9630:2000:Giacomini M:application:of:artificial</idno><idno type="wicri:Area/Main/Merge">002496</idno><idno type="wicri:Area/Main/Curation">002406</idno><idno type="wicri:Area/Main/Exploration">002406</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Application of artificial neural network for the identification of fresh water bacteria.</title><author><name sortKey="Giacomini, M" sort="Giacomini, M" uniqKey="Giacomini M" first="M" last="Giacomini">M. Giacomini</name><affiliation wicri:level="1"><nlm:affiliation>Department of Informatics Systems and Telematics, University of Genova, Via Opera Pia 13, 16145 Genova, Italy.</nlm:affiliation><country xml:lang="fr">Italie</country><wicri:regionArea>Department of Informatics Systems and Telematics, University of Genova, Via Opera Pia 13, 16145 Genova</wicri:regionArea><wicri:noRegion>16145 Genova</wicri:noRegion></affiliation></author><author><name sortKey="Ruggiero, C" sort="Ruggiero, C" uniqKey="Ruggiero C" first="C" last="Ruggiero">C. Ruggiero</name></author><author><name sortKey="Caneva, F" sort="Caneva, F" uniqKey="Caneva F" first="F" last="Caneva">F. Caneva</name></author><author><name sortKey="Bertone, S" sort="Bertone, S" uniqKey="Bertone S" first="S" last="Bertone">S. Bertone</name></author></analytic><series><title level="j">Studies in health technology and informatics</title><idno type="ISSN">0926-9630</idno><imprint><date when="2000" type="published">2000</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Bacteria (classification)</term><term>Bacteria (isolation & purification)</term><term>Bacteriological Techniques</term><term>Fresh Water (microbiology)</term><term>Humans</term><term>Italy</term><term>Neural Networks (Computer)</term><term>Water Microbiology</term></keywords><keywords scheme="MESH" type="geographic" xml:lang="en"><term>Italy</term></keywords><keywords scheme="MESH" qualifier="classification" xml:lang="en"><term>Bacteria</term></keywords><keywords scheme="MESH" qualifier="isolation & purification" xml:lang="en"><term>Bacteria</term></keywords><keywords scheme="MESH" qualifier="microbiology" xml:lang="en"><term>Fresh Water</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Bacteriological Techniques</term><term>Humans</term><term>Neural Networks (Computer)</term><term>Water Microbiology</term></keywords><keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>Italie</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">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).</div></front></TEI><affiliations><list><country><li>Italie</li></country></list><tree><noCountry><name sortKey="Bertone, S" sort="Bertone, S" uniqKey="Bertone S" first="S" last="Bertone">S. Bertone</name><name sortKey="Caneva, F" sort="Caneva, F" uniqKey="Caneva F" first="F" last="Caneva">F. Caneva</name><name sortKey="Ruggiero, C" sort="Ruggiero, C" uniqKey="Ruggiero C" first="C" last="Ruggiero">C. Ruggiero</name></noCountry><country name="Italie"><noRegion><name sortKey="Giacomini, M" sort="Giacomini, M" uniqKey="Giacomini M" first="M" last="Giacomini">M. Giacomini</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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