A Collective Study of Data Mining Techniques for the Big Health Data available from the Electronic Health Records

The healthcare industry has witnessed a huge evolution in producing enormous amount of medical data that gave birth to the research in multiple fields. Efforts were done and are being done by the researchers in exploring the medical data in order to extract useful knowledge by applying the technical innovations. Electronic Health Record systems (EHRs) are the repositories of data which is the digitized format of the storing the medical data. Electronic health data is the fastest growing data diversity. Technological advancements in health care information, digitalizing health records has resulted in rapid growth of healthcare sector. Healthcare sector manages huge amount of data and need to analyse the data available and provides a better solution which makes better decision. One of the challenges is how to discover useful and important information effectively among the massive amount of data available through the data mining techniques. Data Mining plays a major role in advancing and developing the new techniques which works effectively for the big data available in healthcare. This paper reviews different predictive and descriptive data mining techniques that had been applied to voluminous health record in aid of decision making process.