Investigation of the depression in breast cancer patients by computational intelligence technique

Breast cancer is one of the most common cancers in females. Depression could be occurred in patients with breast cancer. The psychiatric problem could influence on the quality of life. Treatment could be used in order to eliminate the suffering. By the way a patient could show different complaints therefore the depression could remain undetected and not treated as well. In this investigation the depression was analyzed according the different input factors. These factors are: age range, occupation status, education level, marriage status, therapy level and economic status. Computational intelligence technique was used to estimate the influence of the each factor for the depression in the breast cancer patients. Based on the results the age range and occupation status is the most dominant combination of the factors for the depression in breast cancer patients.