A Hybrid Automatic System for the Diagnosis of Lung Cancer Based on Genetic Algorithm and Fuzzy Extreme Learning Machines

An automatic system for the diagnosis of lung cancer has been proposed in this manuscript. The proposed method is based on combination of genetic algorithm (GA) for the feature selection and newly proposed approach, namely the extreme learning machines (ELM) for the classification of lung cancer dat...

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Bibliographic Details
Published in:	Journal of medical systems Vol. 36; no. 2; pp. 1001 - 1005
Main Author:	Daliri, Mohammad Reza
Format:	Journal Article
Language:	English
Published:	Boston Springer US 01.04.2012 Springer Nature B.V
Subjects:	Algorithms Artificial Intelligence Automation Cancer Diagnosis Fuzzy Fuzzy Logic Fuzzy set theory Genetic algorithms Health Informatics Health Sciences Humans Hybridization Image Processing, Computer-Assisted - methods Learning Lung cancer Lung Neoplasms - diagnosis Lungs Medical diagnosis Medicine Medicine & Public Health Original Paper Statistics for Life Sciences Extreme Learning Machines (ELM) Fuzzy Inference System (FIS) Genetic Algorithm (GA) Lung Cancer Diagnosis Automatic Medical System
ISSN:	0148-5598, 1573-689X
Online Access:	Get full text
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