Survey on Prediction of Lung and Breast Cancer Diseases using Data Mining Techniques

Data mining helps to extract unseen information from the large databases and data warehouses. Data mining is not specific to one type of media or statistics and it can be associated to any kind of information repository, even though, algorithms and methods may vary when applied to different types of data. Data mining applications can greatly benefit all parties involved in the healthcare industry. Healthcare mining is one of the emerging research areas for predicting the disease. In healthcare larger amounts of data are handled and analyzed for knowledge extraction that permits support for cost-savings and good decision making. There are so many applications in healthcare mining, in which disease prediction is one of the essential and important applications. Many researchers have contributed much and provided the best solution for prediction of diseases using data mining techniques by analyzing the health data. Cancer is one the dangerous disease that is leading cause for growing death in worldwide. This survey paper primarily focused to provide detailed information about how lung and cancer diseases are predicted using different data mining techniques. This survey helps the budding researchers, those who are interested to do their research in disease prediction.