Breast Cancer Survival Rate Prediction In Mammograms Using Machine Learning

Abstract

Breast cancer has produced an immense data set such as electronic medical records, metabolomics analysis and report which includes patient health history and disorders. However, the data ought to be analyzed and integrated if needed to produce models about physiological mechanisms of pathogens, the use of machine learning along with Image Analysis is to predict the survival rate among the breast cancer patients. The mammographic image of the breast is taken among cancer patients and normal person to diagnose the diff between the cancerous cell and normal cell using the image analysis. This will help to detect the early sign of breast cancer among the patient and also the analysis of mammographic image at different stage of breast cancer will help in depicting the survival rate among the patients. The mammographic data set is analyzed through various filters of image search like median, average and Gaussian filter. The methodologies are used on mammographic data set.