Genetic algorithm spectral feature selection coupled with quadratic discriminant analysis for ATR-FTIR spectrometric diagnosis of basal cell carcinoma via blood sample analysis

A diagnostic approach for basal cell carcinoma (BCC) has been developed based on investigation of the infrared spectra of blood samples. Different predictive procedures were developed using quadratic discriminant analysis (QDA) combined with a simple filtered method and genetic algorithm (GA) as a f...

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Veröffentlicht in:	RSC advances 2014-01, Vol.4 (78), p.41484-41490
Hauptverfasser:	Khanmohammadi, Mohammadreza, Ghasemi, Keyvan, Garmarudi, Amir Bagheri
Format:	Artikel
Sprache:	eng
Schlagworte:	Blood Diagnostic systems Discriminant analysis Genetic algorithms Joining Spectra Strategy Wavelengths
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creator	Khanmohammadi, Mohammadreza Ghasemi, Keyvan Garmarudi, Amir Bagheri
description	A diagnostic approach for basal cell carcinoma (BCC) has been developed based on investigation of the infrared spectra of blood samples. Different predictive procedures were developed using quadratic discriminant analysis (QDA) combined with a simple filtered method and genetic algorithm (GA) as a feature subset and wavelength selection strategy. Results showed 94.74% and 100% accuracy for Filtering-QDA and GA-QDA models, respectively.
doi_str_mv	10.1039/C4RA04965A
format	Article
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source	Royal Society Of Chemistry Journals 2008-
subjects	Blood Diagnostic systems Discriminant analysis Genetic algorithms Joining Spectra Strategy Wavelengths
title	Genetic algorithm spectral feature selection coupled with quadratic discriminant analysis for ATR-FTIR spectrometric diagnosis of basal cell carcinoma via blood sample analysis
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