Intelligent Predictive Methods Using Data Mining In Healthcare:A Survey

In every field of knowledge data mining has its permanent role for extracting data from large number of repositories. Healthcare field is producing large amounts of data so that data mining has a lot to do in this particular field of knowledge, Since the globe is going through pandemic situation the human life value has very much importance since the survival rate of human beings could do a lot of with global economy and all other sectors with which humans are very much connected. Data Mining has very much efficient in analyzing, extracting data and finding patterns for knowledge discovery [1] in the medical field as it producing millions of digital and non-digital data in every second. Since the electronic health records (EHR) is growing exponentially, data mining is having its own signature in healthcare services. The heterogeneous big data from healthcare sector has very much to do with the organization data. By using different approaches for knowledge discovery like historical data analysis, pattern finding and other methods for the diagnosis of diseases can be done and can also reduce the treatment cost. Also mining has a lot to do with the various sub sectors in healthcare including prediction, clinical decision support, survival rate etc. using machine learning algorithms. There are some difficulties in getting and handling the medical data since it has a lot of issues regarding privacy, heterogeneity etc.