Editor/Reviewer loginFrequency : 12 issues per year
Subject : Computer Applications and Technology
ISSN : 2319–8656 (Online)
IJCATR Volume 5 Issue 7
Development of Computational Tool for Lung Cancer Prediction Using Data Mining
Divya Chauhan Varun Jaiswal
10.7753/IJCATR0507.1001
keywords : Lung Cancer, Classification, Neural Network, SOM, LDA, PCA, Chi-Square, Feature Extraction
The requirement for computerization of detection of lung cancer disease arises ever since recent-techniques which involve manual-examination of the blood smear as the first step toward diagnosis. This is quite time-consuming, and their accurateness depends upon the ability of operator's. So, prevention of lung cancer is very essential. This paper has surveyed various techniques used by previous authors like ANN (Artificial Neural Network), image processing, LDA (Linear Dependent Analysis), SOM (Self Organizing Map) etc.
@artical{d572016ijcatr05071001,
Title = "Development of Computational Tool for Lung Cancer Prediction Using Data Mining",
Journal ="International Journal of Computer Applications Technology and Research(IJCATR)",
Volume = "5",
Issue ="7",
Pages ="417 - 421",
Year = "2016",
Authors ="Divya Chauhan Varun Jaiswal"}
The paper proposes an efficient approach for Lung Cancer Diagnosis
Feature level extraction and classification process
Achieving high detection or classification accuracy
Easy and analytical approach for different diseases in lung cancer diagnostics