TY  - JOUR
TI  - An Integrated Cancer Prediction System Using Data Mining Techniques
AU  - Pallavi Mirajkar
AU  -  Dr. G. Prasanna Lakshmi
JO  - International Journal of Scientific Research in Computer Science, Engineering and Information Technology
PB  - Technoscience Academy
DA  - 2018/02/28
PY  - 2018
DO  - https://doi.org/10.32628/IJSRCSEIT
UR  - https://ijsrcseit.com/CSEIT1831117
VL  - 3
IS  - 1
SP  - 1497	
EP  - 1501
AB  - Cancer identification and prediction are huge challenge to the researchers. The use of various techniques of data mining techniques has revolutionized the whole process of cancer Diagnosis and Prognosis. We are proposing integrated system which is based on combination of various data mining techniques such as analytical hierarchy process, rule based association, classification etc. that is helpful to predict the patient’s disease status. Cancer disease risk can be discovered by analyzing and identifying various factors and symptoms of the patient before recommending treatments. The vital aim of our system is to help oncologist and medical practitioners in diagnosing the patient by analyzing available data and relevant information.