Meme kanserinin sınıflandırılması için veri madenciliğini kullanmak

Among the most critical issues that threat the human heath in current days is the breast cancer, [1] the researches reveals that around 12.4 percent of women in United States are more subjectable of this incident. According to the publications of leading health organization in the world, WHO reveals that breast cancer is the most propagated disease among women and it may end with mortality. The precautions and regular investigations are the options for preventing this cancer, furthermore, the recognition of the same may begin at earliest for combating purpose. From data science perspectives, data mining technology is used to uncover the disease according to some parameters alike BMI, age and sugar routine database. The deployment of those technologies had resulted considerable results that may help for breast cancer aid. In this research Coimbra dataset are collected and studied according to 10 predictors We used these predictors to estimate if the breast cancer is occurring or not. The 6 algorithms used are compared according to their performance in WEKA and in MATLAB. The comparison is useful to prove the possibility of using Data Mining algorithms to help Medicine decision engine with good precision.