Application of bioinformatics in cancer diagnosis and prediction

Cancer is considered to be the most dangerous disease in the world. Every year many people around the world are infected with this disease and die. Breast cancer is the most common disease in women. Whreas breast cancer includes ۳۰% of women’s cancers. If cancer diseas have been predicted in early stag, chanse of treating was increased. Machine learning techniques have a high ability to recognize and classify cancer cells and normal cells. we used these techniques to study and assesment breast tissue cancer cells. In this study, ۱۲۰ breast cancer patients, all of whom underwent surgery, were examined. Several different characteristics were considered for each patient. These characteristics were analyzed in the logistic regression method of machine learning. We are trying to measure the relationship between these data and the data of the CDP device based on electrochemical mechanisms, to check the e↵ectiveness of this device. Results showed the logistic regression method recorded an accuracy rate of ۸۱%. This study indicates significant relationship between the selected characteristics of cancer cells and the data recorded by the cdp device. To improve the accuracy of the method, increasing the number of patients is very effective.

کلیدواژه ها:

machine learning ، breast cancer ، early diagnosis ، prognosis