prediction of oral cancer by naive bayesian
VIJAY ANAND V,VINOTH M,GANESH KUMAR S,SAMUEL PAULSON SITE
Published in International Journal of Advanced Research in Computer Science Engineering and Information Technology
ISSN: 2321-3337 Impact Factor:1.521 Volume:1 Issue:1 Year: 06 June,2013 Pages:1-0
Abstract
Among the deadliest disease in the world cancer is one among them. Oral cancer is one of them. A survey among the developing countries of South Asia says that, one third of the person has a chance of having cancer .In India Oral Cancer is most widely spread. In this project we use two algorithms such as Naive Bayesian and Support Vector Machine. We compare results of both algorithms to show which algorithm is best. Here cancer patient database is built and data mining techniques is applied on it for analysing data. Keywords: IPPSCD – Intelligent Prognosis Prediction System for Cancer Disease; SVM – Support Vector Machine; LIF – Laser Induced Fluorescence; CCD – Charge Coupled Device; HPLC – High-Performance Liquid Chromatography.
Kewords
alcohol smoking ulcer cancer.
Reference
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