Design and implementation of a patterns recognition system for analysis of biological liquids

Author

Aguilar, Jose ; Hernández, Luis ; Olivar, Anny

Author_Institution

Dept. de Comput., Univ. de Ins Andes, Merida

fYear

2008

fDate

1-6 June 2008

Firstpage

1954

Lastpage

1961

Abstract

Given the great amount of data that are generated of the experiments that are made to analyze information of the extracted chemical fluids from the brain of a rodent, arises the necessity to design and to implement data mining systems to process this data. In this work is proposed a Fuzzy System for the Analysis of Biological Liquids (FSABL) that allows to analyze and to process the data, and this way, to know a series of disorders products of alterations, storage, and liberation of the Neurotransmitters. The FSABL is constructed under the paradigm of the Classifier Systems. Our system has been tested to determine the variation of the glutamate Neurotransmitter in the cerebral tonsil of the rats. It discovers and evaluates new rules, and it generates new solutions associated to clinical disorders.

Keywords

biology computing; data mining; fuzzy set theory; neurophysiology; pattern classification; biological liquids analysis; cerebral tonsil; chemical fluids; classifier systems; clinical disorders; data mining systems; disorders products; fuzzy system; glutamate neurotransmitter; patterns recognition system; Chemical analysis; Chemical processes; Data mining; Fuzzy systems; Information analysis; Liquids; Neurotransmitters; Pattern analysis; Pattern recognition; Rodents;

fLanguage

English

Publisher

ieee

Conference_Titel

Evolutionary Computation, 2008. CEC 2008. (IEEE World Congress on Computational Intelligence). IEEE Congress on

Conference_Location

Hong Kong

Print_ISBN

978-1-4244-1822-0

Electronic_ISBN

978-1-4244-1823-7

Type

conf

DOI

10.1109/CEC.2008.4631056

Filename

4631056