Efficient Lung Cancer Prediction System using Data Mining Algorithms |
Author(s): |
| Nithya. S , KONGU ENGINEERING COLLEGE,ERODE; Malathi. S, KONGU ENGINEERING COLLEGE,ERODE; Numan Ahmed. M. A, KONGU ENGINEERING COLLEGE,ERODE; Sivaranjani.V, KONGU ENGINEERING COLLEGE,ERODE |
Keywords: |
| Lung Cancer, Data Mining, Naive Bayes, Decision Tree, Support Vector Machine |
Abstract |
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The main objective of this paper is to predict the possible level of Lung Cancer. Today Cancer is the worst disease that causes a lot of death. Because in most of the cases, it is incurable. But it is not so the case, if it is detected at earlier stage. So the earlier diagnosis is necessary. However there are so many steps and efforts are needed to predict the occurrence of Lung cancer. Data mining is the process of extracting the required information from the huge volume of datasets using various algorithms. In medical field, it leads to lot of researches. Here, we use Naive Bayes algorithm, Decision Tree and Support Vector Machine algorithms that predicts the lung cancer based on simple parameters without much efforts. |
Other Details |
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Paper ID: IJSRDV6I10197 Published in: Volume : 6, Issue : 1 Publication Date: 01/04/2018 Page(s): 384-386 |
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