Computational measure of cancer using data mining and optimization

Abstract

In this paper approaches for cancer prediction through computational measures has been discussed and analyzed. This paper provides the basis of worldwide cancer impact, methodological study with discussion, attributes and parametric impact, gaps analyzed, and the suggested computational solutions. This paper also explores the impact and the association measures of the influencing factors. The methods covered in this study are from data mining and optimization. The latest trends in the methods used and applicability have been discussed with the gaps.