USING DATA MINING FOR ORAL CANCER RISK STRATIFICATION IN TERMS OF AGE, GENDER AND SOCIOECONOMIC STATUS

SHARMA N.¹, HARI O.^2
1Padmashree Dr D.Y. Patil Institute of Master of Computer Applications, Akurdi- 411044, MS, India.
²Computer Science and Engineering Department, Indian School of Mines, Dhanbad- 826004, Jharkhand, India.

Received : 28-11-2013     Accepted : 18-12-2013     Published : 26-12-2013
Volume : 3     Issue : 1       Pages : 37 - 40
Adv Med Informat 3.1 (2013):37-40

Oral cancer is a major concern in India as the literature shows large number of cases getting registered every year. The predominant medical model approach to research and prevention on the risks of the disease gives very little attention to the effect of demographic information. There is uncertainty and limited recognition of the relationship between age, gender, socioeconomic inequalities and oral cancer, therefore we aim to quantitatively assess the association between various demographics and oral cancer incidence risk. Data mining is applied to oral cancer database in order to understand association. The results show that females have less probability to develop oral cancer in comparison to male. The people in the age group of 50-55 years are more prone to build up malignant cells. The mean age of diagnosis is 58.7 years. It is observed that the patients of lower socioeconomic status have shown the significant increase in incidences.