A Study of Mathematical Tools on Cancer

The aim of this present investigation is to identify the most important risk factor for cancer by means of a mathematical model. The study begin with considering some types of cancer viz breast, colorectum as well as Lung and Bronchus cancer as most of the cancer patients suffer from these types of cancers. Teaching-Learning-Based Optimization technique is applied to sorting out the most lethal cancer among all cancer consider in this study and it is found that Lung and Bronchus cancer is the most fatal. Further we investigate the risk factor associate to Lung and Bronchus cancer by means of Lliterature, Expert and Local Hospital survey. All the risk factor have their own importance for death from cancer in medical aspects. Multi-Criteria Decision Making technique is applied to recognize the most significant risk factor among all the factors in statistical scenario.