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Published in:   Vol. 4 Issue 2 Date of Publication:   December 2015

A Pioneering Cervical Cancer Prediction Prototype in Medical Data Mining using Clustering Pattern

R.Vidya,G.M.Nasira

Page(s):   63-66 ISSN:   2278-2397
DOI:   10.20894/IJDMTA.102.004.002.003 Publisher:   Integrated Intelligent Research (IIR)

Let us not make the cure of the disease more unbearable than the disease itself this quote is the most durable and inspirational line of medicine field. Data mining is said to be an umbrella term which refers to the progression of finding out the patterns in data. This can be even succeeded typically with an assistance of authoritative algorithm to automate search (as a part). This paper reveals out, how the C2P (Cervical Cancer Prediction) model is approached by a data mining algorithm for prediction. The prediction of C2 (Cervical Cancer) has been a challenging problem in research field. In the Data mining applications, we are utilizing RFT (Random Forest Tree) algorithm to do the prediction. To the best of our knowledge, we use popular clustering K-means technique to achieve more accuracy.