Estimating Chemotherapy Side Effect in Histopathologically Diagnosed Patients Over 65 With Metastatic Breast Cancer Using Deep Learning
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Breast cancer has become one of the increasing social health problems. Breast cancer cases are increasing every year in Turkey, one in 8 women develops breast cancer and every year, 25,000 new breast cancer cases are diagnosed. Increased obesity and menopausal age, decreased fertility, environmental and genetic factors also increase the rate of breast cancer. Diagnosis and treatment of breast cancer is of great importance. Deep learning is a part of machine learning that began to be used in the early 2010s. It is a method that provides more effective inferences by using machine learning methods with the help of multiple layers. With deep learning, very realistic results were obtained in estimations based on historical data. As in many other fields, deep learning methods have been used in the field of medicine. In this study, it is aimed to make an analysis study to predict side effects in patients who are given chemotherapy by using deep learning methods in breast cancer patients diagnosed over 65 years. As a result of this study, it was aimed to give an idea to physicians whether or not to apply chemotherapy to breast cancer patients over 65 years. In this study, a two-class problem, positive and negative, was discussed and as a result 74% accuracy was obtained. This is the first study on this subject, there is no previous study on whether breast cancer should be given with deep learning in the elderly with breast cancer.