A Survey on Early detection of Lung Cancer by gene expression profiles using Data Mining Techniques

A Survey on Early detection of Lung Cancer by gene expression profiles using Data Mining Techniques

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2018 by IJETT Journal
Volume-55 Number-1
Year of Publication : 2018
Authors : Mohammed Mekuriya Adem, Aniket Jagtap
DOI :  10.14445/22315381/IJETT-V55P205

Citation 

Mohammed Mekuriya Adem, Aniket Jagtap "A Survey on Early detection of Lung Cancer by gene expression profiles using Data Mining Techniques", International Journal of Engineering Trends and Technology (IJETT), V55(1),21-24 January 2018. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group

Abstract
Lung Cancer is the most common causes of death for human beings all over the world. Early detection and treatment can increase the survival rate of lung cancer patients. This work proposes a methodology that detects lung cancer using gene expression profiles. The proposed system first extracts significant features from the input patterns by using Information Gain (IG). Then the Genetic Algorithm (GA) is applied for feature reduction. The proposed system is evaluated by considering microarray dataset and compared with the most recent systems. Support Vector Machine (SVM) is applied for classification.

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Keywords
Lung Cancer, Genetic Algorithm, Information Gain, Support Vector Machine, Feature Selection.