Published Paper Details:

In the last few years, the death rate in men and women increased due to lung cancer. Thus, early detection of lung cancer increases the chances of survival of patients. In this paper, we have designed a method by hybrid the support vector machine and firefly algorithm to detect and classify lung cancer. The proposed method contains three steps, namely, pre-processing, appropriate parameter value selection, and classification. We have used the median filter in the pre-processing step to remove noise. After that, the SVM algorithm is applied to detect and classify lung cancer. In the last, the firefly algorithm is used to select appropriate parameter value selection for the SVM algorithm to enhance accuracy. The experimental results were performed on the standard dataset. The performance analysis of the proposed method was done using various parameters. The results show that the proposed method is superior as compared to the existing methods such as SVM, KNN, RF, and GNB.