A Systematic Review of Data Mining in Health Care: A Case of Breast Cancer

Abstract

Breast cancer is a major health issue that affects women all over the world recording about 23% of all malignancies. The disease was the leading cause of female mortality in developed countries, second in the world, and third in developing countries, amounting to 14% of cancer fatality. Data mining is an excellent tool in data science that allows practical scenarios to be analysed using various techniques. In the field of medicine, analysing records with large data become a herculean task and time pressing issue. Thus, the most challenging aspect in this area is not just to identify that a breast tumor is benign or malignant but also knowing the stage of the disease as early as possible, this will help in treatment and prognosis of the disease. In this field, several research studies are now underway. As a result, a careful examination of completed and unfinished research is required in order to open up a new study horizon. Hence, the goal of the study is to provide an in-depth review of data mining application in health care, with focus on breast cancer.