Abstract: According to NCBI research journal , oral cancer ranks in the top three of all cancers in India, which accounts for over thirty per cent of all cancers reported in the country and oral cancer control is quickly becoming a global health priority. In these years recently India is a country having a majority of oral cancer patients in comparison to other countries. In a survey it was determined that 12.5 per 1,00,000 people suffer from oral cancer . The major causes of this disease spreading as an epidemic is not hereditary or in born, but the lifestyle that people live over here. Chewing and smoking tobacco and other intoxicant weeds containing harmful strains of carcinogenic pathogens is a hobby over here in India. Both the wealthy and poor class of people have easy access to these intoxicants, over which it seems to be obvious that the government has no strict quality control . Oral cancer and tuberculosis are the 2 major widespread diseases that are blooming over the entire Indian nation. Alcohol also has an involvement in oral cancer to some extent, but tobacco is the major trigger for it. Work is being done in order to find out methods of early detection and treatment of people through routine checkups and surveys organized both by government and non government organizations. Early detection is important because diagnosis of tongue and oral cavity in early stages can help preventing it easily. With the help of predictive models; such as: decision tree model, genetic algorithm, tree boost model and decision tree forest model; early detection and treatment of patients can be done.
Keywords: Data Mining, Oral Cancer, Genetic Algorithm
| DOI: 10.17148/IJARCCE.2018.7821