Manuscript Number : CSEIT1831117
An Integrated Cancer Prediction System Using Data Mining Techniques
Authors(2) :-Pallavi Mirajkar, Dr. G. Prasanna Lakshmi 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.
Pallavi Mirajkar Ensemble Learning, Prediction, Cancer, Data Mining, Rule-based algorithm, Integration Publication Details Published in : Volume 3 | Issue 1 | January-February 2018 Article Preview
Research Scholar Faculty of Computer Science Pacific Academy of Higher Education and Research University Udaipur, Rajasthan, India
Dr. G. Prasanna Lakshmi
Guide, (WOS-A) Andhra University, Andhra Pradesh, India
Date of Publication : 2018-02-28
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 1497-1501
Manuscript Number : CSEIT1831117
Publisher : Technoscience Academy