Analysis of Data Mining Techniques for Healthcare

Data mining is a moderately new field of research whose major objective is to acquire information from large amounts of data. In medical and health care areas, due to protocols and the availability of computers, a great amount of data is becoming available. On the one hand, practitioners are likely to use all this data in their work but, at the same time, such a large amount of data cannot be processed by humans in a short time to make diagnosis, projection and treatment schedules. A major neutral of this paper is to extensively examine the data mining tools in medical and health care uses to develop software with using that tools that can help make timely and accurate decisions. Health care industry produces huge quantity of data that clutches complex information relating to patients and their medical conditions. This paper features various Data Mining procedures such as classification, clustering, relationship and also highlights related work to analyse and predict human disease .It is shown how the health care manufacturing is solving their problems through data mining techniques. Various learning methods in data mining, data mining tasks, scope of data mining, importance of data mining in health care industry, forecasts and issues in health care industry are discussed.