Abstract: In present world, lung cancer considers as the deadlier disease and a primary concern of high mortality. It affects human being at a greater extent. Treatment of lung cancer involves surgery, chemotherapy, radiation therapy, Immune therapy etc. Therefore, it is highly necessary to take early precautions at the initial stage such that its symptoms and effect can be found at early stage for better diagnosis. Machine learning now days has a great influence to health care sector because of its high computational capability for early prediction of the diseases with accurate data analysis. So in this paper we review the work done so far in this field by analysing the various techniques used in past researches.
Keywords: KNN method, Genetic Algorithm, Deep Learning etc.
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