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Feature and model selection with discriminatory visualization for diagnostic classification of brain tumors

✍ Scribed by Félix F. González-Navarro; Lluís A. Belanche-Muñoz; Enrique Romero; Alfredo Vellido; Margarida Julià-Sapé; Carles Arús


Book ID
113816361
Publisher
Elsevier Science
Year
2010
Tongue
English
Weight
558 KB
Volume
73
Category
Article
ISSN
0925-2312

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Genetic programming (GP) is used to classify tumours based on 1 H nuclear magnetic resonance (NMR) spectra of biopsy extracts. Analysis of such data would ideally give not only a classification result but also indicate which parts of the spectra are driving the classification (i.e. feature selection