• Malini C S
• Saravanan N

Data mining holds a lot of potential in the healthcare industries. It can enable the health systems in using the data and the analytics for identification of the best possible practices along with inefficiencies. It reduces the cost and improves the overall care structure. Data mining can help in predicting the timeline of future events. It can easily help in predicting the future diseases or deficiencies that can occur in the patient’s lifetime. Data mining provides the methodology and technology to transform these mounds of data into useful information for decision making. This article explores data mining applications in healthcare. It also gives an illustrative example of a healthcare data mining application involving the identification of risk factors associated with the onset of diabetes. Finally, the article highlights the limitations of data mining and discusses some future directions.

Data mining, Healthcare, data analytics, life science

"Pragmatic Application of Data Mining in Healthcare ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 8, page no.545-548, August-2018, Available :http://www.jetir.org/papers/JETIRC006411.pdf

"Pragmatic Application of Data Mining in Healthcare ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 8, page no. pp545-548, August-2018, Available at : http://www.jetir.org/papers/JETIRC006411.pdf