Start Submission Become a Reviewer

Reading: The impact of data mining techniques on medical diagnostics

Download

A- A+
dyslexia friendly

Research Papers

The impact of data mining techniques on medical diagnostics

Authors:

Siri Krishan Wasan ,

Department of Mathematics, Jamia Millia Islamia, New Delhi, India., IN
X close

Vasudha Bhatnagar,

Department of Computer Science, University of Delhi, New Delhi, India, IN
X close

Harleen Kaur

Department of Mathematics, Jamia Millia Islamia, New Delhi, India, IN
X close

Abstract

Medical data mining has great potential for exploring the hidden patterns in the data sets of the medical domain. These patterns can be utilized for clinical diagnosis. However, the available raw medical data are widely distributed, heterogeneous in nature, and voluminous. These data need to be collected in an organized form. This collected data can be then integrated to form a hospital information system. Data mining technology provides a user-oriented approach to novel and hidden patterns in the data. Data mining and statistics both strive towards discovering patterns and structures in data. Statistics deals with heterogeneous numbers only, whereas data mining deals with heterogeneous fields. We identify a few areas of healthcare where these techniques can be applied to healthcare databases for knowledge discovery. In this paper we briefly examine the impact of data mining techniques, including artificial neural networks, on medical diagnostics.
DOI: http://doi.org/10.2481/dsj.5.119
How to Cite: Wasan, S.K., Bhatnagar, V. & Kaur, H., (2006). The impact of data mining techniques on medical diagnostics. Data Science Journal. 5, pp.119–126. DOI: http://doi.org/10.2481/dsj.5.119
31
Views
58
Downloads
7
Citations
Published on 28 Nov 2006.
Peer Reviewed

Downloads

  • PDF (EN)

    comments powered by Disqus