Cart (Loading....) | Create Account
Close category search window
 

Analysis of health care data using different data mining techniques

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Gosain, A. ; Dept. of Comput. Sci., GGSIPU, Delhi, India ; Kumar, A.

Data mining is an interesting field of research whose major objective is to acquire knowledge from large amounts of data. With advances in health care related research, there is a wealth of data available. However, there is a lack of effective analytical tools to discover hidden and meaningful patterns and trends in data, which is essential for any research. In recent years, human immune-deficiency virus (HIV) related illnesses have become a threat to the modern world. Researchers all over world, including India, are trying hard to find suitable answer to this and this led to lots of research in the field. Therefore, a tool which can process data in meaningful way is the need the time. In this study, we briefly examine the potential use of classification based data mining techniques such as decision tree and association rule to massive volume of health care data. Further we developed a prototype/approach that is specially designed to monitor the patients receiving antiretroviral therapy (ART). As monitoring of individual is not a difficult task however deriving inferences from a large cohort and then use this information for future guidelines need this kind of prototype/approach. We expect, this would have great impact in current management and future strategies against HIV.

Published in:

Intelligent Agent & Multi-Agent Systems, 2009. IAMA 2009. International Conference on

Date of Conference:

22-24 July 2009

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.