• AMEEFA P K
• Lilly Cheerotha

This survey mainly dealing with the health issues. Their related information is collected and how important data mining is in health care. Now-ever-days health issues are increasing and recording every information are becoming more complex. Gathering the health record by gathering the data sets related to insurance claims, health surveys and other sources including data quality and privacy issues. The analysis of new health conditions using data mining is necessary. Clinical Decision Making by diagnose their issues or disease rather than by the medical experts. Bio medicine and Genetics for finding the specific diseases that are effects of genetics are studied with the help of bio medical and molecular level. Population Health focused mainly on the patterns, trends and causes of specific disease across a population. Health Administration and Policies mainly focus on the insurance plans in the area of health administration. It is believed that by analyzing the related data and extracting the hidden information out of that data, many useful and applicable solutions can be developed. With the increase of implementing electronic systems, such as electronic health records systems, in the health sector, there are massive amount of data being captured every day.

Data Mining; Health Data Analysis; Data Quality; Predictive Modeling; Health Big Data; Data Mining Applications; Classification; Clustering; Association

"A Survey on importance of Data Mining in Health care", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.326-331, May 2019, Available :http://www.jetir.org/papers/JETIRCU06065.pdf

"A Survey on importance of Data Mining in Health care", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp326-331, May 2019, Available at : http://www.jetir.org/papers/JETIRCU06065.pdf