چکیده مقاله
Cancer is one of the malignant diseases and millions of people worldwide die from cancer annually Breast cancer diagnosis requires the analysis of images and attributes as well as collecting many clinical and mammography variables In diagnosis of breast cancer, it is important to determine whether a tumor is benign or malignant The information about breast cancer risk prediction along with the type of tumor are crucial for patients and effective medical decision making An ideal diagnostic system could effectively distinguish between benign and malignant cells; however, such a system has not been created yet In this study, a model is developed to improve the prediction probability of breast cancer It is necessary to have such a prediction model as the survival probability of breast cancer is high when patients are diagnosed at early stages
نویسندگان
Somayeh Marandi
Payam Noor University Tehran, Iran
Jafar Tanha
Payam Noor University Tehran, Iran
شیوه ارجاع
Marandi, Somayeh and Tanha, Jafar,1397,Breast Cancer Diagnosis Using Machine Learning Techniques,International Conference on Innovation and Research in Engineering Sciences
ارائهشده در
مجموعه مقالات کنفرانس بین المللی نوآوری وتحقیق در علوم مهندسی(ICIRES ۲۰۱۸)27 تیر 1397