• Katta Harendra
• G.Vivek Vardhan
• P. Tharun
• C.Sabarinathan

Cancer is one of the most identified disease among people and it’s one of the major reasons for increase in mortality rate. There are different types of cancers which are present such as lung cancer, breast cancer, blood cancer, etc. As the analysis of this sickness physically takes extended periods of time and their less accessibility in frameworks, there will be the process to build up the programmed finding framework for initial location in malignancy. Data mining methods gives a great deal in the advancement of that framework. There are different calculations and approaches utilized for robotized screening of malignancy by portioning and ordering disease cells into various classes. For grouping different types of cancers, we are using clustering techniques of data mining in which different types of cancers are clustered into different groups according to which the risks of each cancer are predicted group wise. For predicting the levels of risks, we are using Decision tree algorithm and CNN algorithm. This study presents various data mining and machine learning algorithms integrated together to predict the types of cancer along with the overall risk levels of cancer according to the symptoms given by the users.

Cancer Prediction, CNN Algorithm, Decision Key Algorithm

"Analysis and Prediction of Cancer using Structured and Unstructured Data", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 5, page no.157-162, May-2020, Available :http://www.jetir.org/papers/JETIR2005161.pdf

"Analysis and Prediction of Cancer using Structured and Unstructured Data", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 5, page no. pp157-162, May-2020, Available at : http://www.jetir.org/papers/JETIR2005161.pdf