Authors : M. Sangeetha, N. K. Karthikeyan and P. Tamijeselvy
Abstract: Generally the anatomy of human body is that the cells grow newly and after some period of time they became old and die and the new cells forms. This process continues till the breathe ends. But instead of this normal process when the body cells grows and spreads into surrounding tissues then it results in cancer. Sometimes these extra cells form tumours. Difference between normal cell and cancer cell is that the normal cells stops its growth at a certain period of time whereas cancer cells fail to stop the growth, i.e., they grows abnormally. Cancer cells will spoil the entire regular functioning of the body. Generally cancer centers treat patients upto age 12 under child cancer. Child cancer may be due to problem in DNA or due to deficiency in vitamin C or due to pesticides present in fruits or vegetables or milk. Children identified with cancer may have extra copy of chromosome. Data set of children suffering from cancer are retrieved. The data set may have missing values. The missing values are identified through co-clustering Bayesian principal component analysis method. Then the occurrence percentage of cancer is predicted through Naive Bayesian method.
M. Sangeetha, N. K. Karthikeyan and P. Tamijeselvy, 2016. A Novel Method for the Identification of Child Blood Cancer Using Data Mining Techniques. Asian Journal of Information Technology, 15: 2337-2342.