An Analysis on Data Mining in Healthcare for Diabetes |
Author(s): |
| Gowthami.K , Dr.SNS RAJALAKSHMI COLLEGE OF ARTS&SCIENCE-COIMBATORE; Shanmuga Priya.N, Dr.SNS RAJALAKSHMI COLLEGE OF ARTS&SCIENCE-COIMBATORE |
Keywords: |
| Data Mining, Diabetes Disease Diagnosis, Data Mining Techniques |
Abstract |
|
Data mining is the process of analyzing different facets of data and aggregating it into useful information. Data mining tools are giving effective result for disease diagnosis where it is one of the applications. In medicinal field specialists want accessible data for decision making. Presently day’s data mining strategy is associated in therapeutic exploration so as to break down substantial volume of restorative data. Classification is a data mining mission generally used in medical data mining. The goal here is to discover new and useful patterns to deliver meaningful and useful information for the users about the diabetes. It also summarizes about techniques on medical field (diagnosis and prognosis). To develop disease estimation process using data mining technique it is focused on current research which is being passed out. |
Other Details |
|
Paper ID: IJSRDV5I80197 Published in: Volume : 5, Issue : 8 Publication Date: 01/11/2017 Page(s): 338-340 |
Article Preview |
|
|
|
|
