DATA MINING AND KNOWLEDGE DISCOVERY IN HEALTH SECTOR

  • Sunil Saini, Dr. Himanshu Aggarwal

Abstract

1 INTRODUCTION Data mining for predicting the disease in an early phase in one of the most important topic of research in today’s era. The health care sector is one of the largest sectors that directly impact people’s lives in every country of the world. Due to unhealthy life styles, the number of patients increase sine very category of diseases, so their related data also increase sat alarming rates. The way of organizing the data is most important by which it could best ore easily and searched when ever required by the user. The data stored can be analyzed and lead to better decision-making [1]. The different organizations collect data sets from different sources like digital health wearable, health trackers, genomic sequences, electronic health records, and prescriptions. In the past, the storing and management of data was a more significant problem, but now it is much easier with the new technology. This figure shows share of health care expenditure.
How to Cite
Sunil Saini, Dr. Himanshu Aggarwal. (1). DATA MINING AND KNOWLEDGE DISCOVERY IN HEALTH SECTOR. International Journal Of Innovation In Engineering Research & Management UGC APPROVED NO. 48708, EFI 8.059, WORLD SCINTIFIC IF 6.33, 10(2), 23-25. Retrieved from http://journal.ijierm.co.in/index.php/ijierm/article/view/1194