ORAL CANCER TREATMENT USING DATA MINING TECHNIQUES
Author(s):
Kavana M D, Shreelakshmi C M, Asha Rani M, Parvathi S J
Keywords:
Cancer; Oral Cancer; Data Mining; Classification; Decision tree; Apriori algorithm; Association rule; Genetic algorithm.
Abstract
The term cancer is used generically for more than 100 different diseases including malignant tumours of different sites (such as breast, cervix, prostate, stomach, colon/rectum, lung, mouth, leukaemia, sarcoma of bone, Hodgkin disease, and non-Hodgkin lymphoma). Common to all forms of the disease is the failure of the mechanisms that regulate normal cell growth, proliferation and cell death. Ultimately, there is progression of the resulting tumour from mild to severe abnormality, with invasion of neighbouring tissues and, eventually, spread to other areas of the body. The primary risk factor for developing oral cancer is tobacco use. Smoking cigarettes, cigars, and pipes all increase risk of oral cancer. Smokeless tobacco, often called "dip" or "chew," also heighten the risk. Alcohol consumption is another habit that is strongly associated with the development of oral cancer. This research uses data mining technology such as classification, clustering and prediction to identify potential oral cancer patients .Apriori algorithm is the originality algorithm of Boolean association rules of mining frequent item sets. The data mining methods and techniques will be explored to identify the suitable methods and techniques for efficient classification of data.The data mining techniques are effectively used to extract meaningful relationships from these data. Genetic algorithms were applied to association and classification techniques.
Article Details
Unique Paper ID: 144983

Publication Volume & Issue: Volume 4, Issue 6

Page(s): 359 - 364
Article Preview & Download


Share This Article

Join our RMS

Conference Alert

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024

Last Date: 15th March 2024

Call For Paper

Volume 10 Issue 10

Last Date for paper submitting for March Issue is 25 June 2024

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews