Genetic algorithm spectral feature selection coupled with quadratic discriminant analysis for ATR-FTIR spectrometric diagnosis of basal cell carcinoma via blood sample analysis,10.1039/C4RA04965A

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Lactoyl-CoA 全氟丁基戊烷白叶藤碱全氟己基辛烷新白叶藤碱壳寡糖特色专题-生物多肽

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

Mohammadreza Khanmohammadi,Keyvan Ghasemi,Amir Bagheri Garmarudi

RSC Advances Pub Date : 07/31/2014 00:00:00 , DOI:10.1039/C4RA04965A

Abstract

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.