Predictive Analysis of Malignant Disease in Woman Using Machine Learning Techniques

Abstract

Healthcare organization is suffering from unsustainable costs and lack of data utilization. Thus, it is important to find solution which will minimize needless costs and improve the quality of health care. If we separate the death cause between preventable death and other death in India, preventable death stands in the third position due to cancer and heart attack. So, there is a huge problem present in modern house care, including high cost, high waste, and low quality of health. In order to tackle this problem, machine learning can help in analyzing better care and low-cost health care. In this research, we are investigating the feasibility of employing the machine learning algorithms say SVM, naive Bayes, logistic regression, and KNN for identifying the malignant or benign type of breast cancer found in women.