Application of artificial neural network for the identification of fresh water bacteria.
Identifieur interne : 000060 ( Ncbi/Merge ); précédent : 000059; suivant : 000061Application 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
Links toward previous steps (curation, corpus...)
- to stream PubMed, to step Corpus: 000647
- to stream PubMed, to step Curation: 000647
- to stream PubMed, to step Checkpoint: 000619
Links to Exploration step
pubmed:11187484Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><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></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></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><pubmed><MedlineCitation Owner="NLM" Status="MEDLINE"><PMID Version="1">11187484</PMID><DateCreated><Year>2001</Year><Month>01</Month><Day>18</Day></DateCreated><DateCompleted><Year>2001</Year><Month>02</Month><Day>22</Day></DateCompleted><DateRevised><Year>2006</Year><Month>11</Month><Day>15</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Print">0926-9630</ISSN><JournalIssue CitedMedium="Print"><Volume>77</Volume><PubDate><Year>2000</Year></PubDate></JournalIssue><Title>Studies in health technology and informatics</Title><ISOAbbreviation>Stud Health Technol Inform</ISOAbbreviation></Journal><ArticleTitle>Application of artificial neural network for the identification of fresh water bacteria.</ArticleTitle><Pagination><MedlinePgn>106-10</MedlinePgn></Pagination><Abstract><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).</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Giacomini</LastName><ForeName>M</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>Department of Informatics Systems and Telematics, University of Genova, Via Opera Pia 13, 16145 Genova, Italy.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Ruggiero</LastName><ForeName>C</ForeName><Initials>C</Initials></Author><Author ValidYN="Y"><LastName>Caneva</LastName><ForeName>F</ForeName><Initials>F</Initials></Author><Author ValidYN="Y"><LastName>Bertone</LastName><ForeName>S</ForeName><Initials>S</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList></Article><MedlineJournalInfo><Country>Netherlands</Country><MedlineTA>Stud Health Technol Inform</MedlineTA><NlmUniqueID>9214582</NlmUniqueID><ISSNLinking>0926-9630</ISSNLinking></MedlineJournalInfo><CitationSubset>T</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName MajorTopicYN="N" UI="D001419">Bacteria</DescriptorName><QualifierName MajorTopicYN="N" UI="Q000145">classification</QualifierName><QualifierName MajorTopicYN="N" UI="Q000302">isolation & purification</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D001431">Bacteriological Techniques</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D005618">Fresh Water</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000382">microbiology</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D006801">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" Type="Geographic" UI="D007558">Italy</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="Y" UI="D016571">Neural Networks (Computer)</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="Y" UI="D014871">Water Microbiology</DescriptorName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="pubmed"><Year>2001</Year><Month>2</Month><Day>24</Day><Hour>12</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2001</Year><Month>3</Month><Day>3</Day><Hour>10</Hour><Minute>1</Minute></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2001</Year><Month>2</Month><Day>24</Day><Hour>12</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">11187484</ArticleId></ArticleIdList></PubmedData></pubmed><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)
EXPLOR_STEP=$WICRI_ROOT/Wicri/Musique/explor/OperaV1/Data/Ncbi/Merge
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000060 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Ncbi/Merge/biblio.hfd -nk 000060 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Wicri/Musique
|area= OperaV1
|flux= Ncbi
|étape= Merge
|type= RBID
|clé= pubmed:11187484
|texte= Application of artificial neural network for the identification of fresh water bacteria.
}}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/Ncbi/Merge/RBID.i -Sk "pubmed:11187484" \
| HfdSelect -Kh $EXPLOR_AREA/Data/Ncbi/Merge/biblio.hfd \
| NlmPubMed2Wicri -a OperaV1
| This area was generated with Dilib version V0.6.21. |  |