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