Prediction for the Risk of Oral Cancer Based on the General External Factors

Abstract

The cancer of surface on mouth is grown in men as well as women. Oral fatality rate is an average of 13%. In the world about 657,000 oral cavity and pharynx new cases are appeared and about 330,000 deaths every year [1]. At the initial stage most of the time the primary lesions are not taken seriously and after a long time it may cause oral cancer and sometimes into serious disease. In south East Asia most of the patients who are suffering from oral cancer is female. The dominance of oral cancer is considered to be 10th reason of death. From a survey of WHO almost 49,000 oral cancer patients are suffering [2]. We undertook some factors that are responsible for oral cancer, are mentioned here for our experiment. This paper represents the risk of oral cancer based on the common factors in south East Asia and especially in Bangladesh. As the factors are almost nearest but most of the cases the identifying reason is to taking betel and betel nut in Bangladesh. 60% of oral cancer patients are regarding the age of above 40. In this paper we have made the result and our prediction with a trial of data from 856 patients [3]. We have explored the data sets including the risk factors which work as major cause for oral cancer. So we have worked to propound an exploration to identify the risk for oral cancer by analyzing the most common factors that presents. We have worked and find a simile for 8 diverse algorithm to make our results appropriate as our outcome. Our trial will sum up a new way to identify the risk for oral cancer. People who are invaded but the general symptoms can be predicted the risk percentage of future possibility for oral cancer. Surgical lack is very challenging because of behavior of cancer. Our study may help as a clinical prediction at a very early stage of the patients, people will be benefited and may avoid to be the sufferer of aggressive disease. As sometimes people bear the usual symptoms that are accountable for oral cancer in future it is necessary to identify the risk at an initial stage. Suppose a patient having the risk bears common habit or common symptoms from a certain period of time, the basic risk factors are considered here for this research. The motive of this work is to impel clinical practice for make the possible prediction of risk of this aggressive health issues. We took datasets based on that and using this it will be helpful to predict the risk by the most common factors. Our developed method will help to predict the risk for oral cancer at a very imminent period by undertaking the measure.