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Early Prediction of Lung Cancer using Data Mining Classification Techniques

Author(s):

Priyanka Bajirao Hole , smsmpitr,akluj; Panchwagh Manali Mukund, smsmpitr,akluj; Murkute Pratiksha Meghshyam, smsmpitr,akluj; Mane Komal Balasaheb, smsmpitr,akluj; Prof. Vasekar S. R., smsmpitr,akluj

Keywords:

Data Mining, Lung Cancer, Classification, Artificial Neural Networks, Back propagation Neural Networks, Genetic Algorithm

Abstract

Medical data mining is one of the big issues in this modern world. Medical problems are often in each and every human being. Cancer is one of the very dangerous diseases a human can ever had in Lung cancer is one of them. Lung cancer is a disease that occurs due to the uncontrolled cell growth in tissues of the lung. It is very hard to detect it in its early stages as its symptoms appear only in the advanced stages. Goal of this paper is to automate the classification process for the early prediction of Lung Cancer diseases. To justify this research, it includes classification algorithm i.e. Neural Network and for optimization GA (Genetic Algorithm) is used. Evaluation would be done on the basis of accurate classified sample data. For testing and training diacom images has been used.

Other Details

Paper ID: IJSRDV6I21662
Published in: Volume : 6, Issue : 2
Publication Date: 01/05/2018
Page(s): 3150-3152

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