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

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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
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
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung: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.
ISSN:2046-2069
2046-2069
DOI:10.1039/C4RA04965A