Kolorektal kanserin destek vektör makineleri algoritmasi ile tahmini

Colorectal cancer is a common type of cancer disease that begins in colon or rectum. It is the second most common cancer type of cancer among females, and the third among males. Colorectal cancer causes the death of thousands of people around the world every year. The early detection and prediction of colorectal cancer increases the success chances of colorectal cancer treatment, since colorectal cancer is localized, curable and needs less cost for the treatments in its early stages. This study tried to predict and detect colorectal cancer by using support vector machines algorithm. And that by the implementation on a dataset that is based on the participants' lifestyle, which is the first time to predict colorectal cancer by this type of datasets. This dataset included 22 information about each participant. The results show that colorectal cancer is predictable with a high accuracy by this type of dataset using support vector machines algorithm. And these results can be more accurate if the information of more colorectal cancer patients were collected, and if the data were recorded in the local area of the research to work with better performence for prediction of colorctal cancer in local people.