Effective Cancer Detection Using Soft Computing Technique
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2015, Vol 17, Issue 1
Abstract
Abstract: Cancer research is rudimentary research which is done to identify causes and develop strategies forprevention, diagnosis, treatment and cure. An optimized solution for the better treatment of cancer and toxicityminimization on the cancer patient is performed by identifying the exact type of tumor. A clear cancerclassification analysis system is required to get a clear picture on the insight of a problem. A systematicapproach to analyze global gene expression is followed for identifying exact problem area. Moleculardiagnostics provide a promising option of systematic human cancer classification. But these types of tests arenot mostly applied because characteristics molecular markers have yet to be identified for most solid tumors.Recently, DNA micro-array based tumor gene expression profiles have been used for cancer diagnosis. In theproposed system, gene expressions are taken from multiple sources and an ontological store is created. Antcolony optimization technique is used to analyze the cluster of data with attribute match association rule for detecting cancer using the acquired knowledge.
Authors and Affiliations
Bashetha. A, , Dr. G. Umarani Srikanth
Keywords
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