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Application of artificial neural network for the identification of fresh water bacteria

Giacomini, M.; Ruggiero, C.; Caneva, F.; Bertone, S.

Studies in Health Technology and Informatics 77: 106-110

2000

ISSN/ISBN: 0926-9630
PMID: 11187484
Document Number: 512478
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).

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