Sanati-Mehrizy, R., & Wright, J. H., & Minaie, A., & Sanati-Mehrizy, A., & Sanati-Mehrizy, P. (2013, June), A Study of Application of Data Mining Algorithms In Healthcare Industry  Paper presented at 2013 ASEE Annual Conference & Exposition, Atlanta, Georgia. 10.18260/1-2--19123

\bibitem{asee_peer_19123}
  Sanati-Mehrizy, R., \& Wright, J. H., \& Minaie, A., \& Sanati-Mehrizy, A., \& Sanati-Mehrizy, P. (2013, June), \emph{A Study of Application of Data Mining Algorithms In Healthcare Industry}
  Paper presented at 2013 ASEE Annual Conference \& Exposition, Atlanta, Georgia.
  10.18260/1-2--19123

Reza Sanati-Mehrizy, Jeffrey H Wright, Afsaneh Minaie, Ali Sanati-Mehrizy, and Paymon Sanati-Mehrizy.  "A Study of Application of Data Mining Algorithms In Healthcare Industry".  2013 ASEE Annual Conference & Exposition, Atlanta, Georgia, 2013, June.  ASEE Conferences, 2013.  https://peer.asee.org/19123 Internet.  16 Apr, 2024

\bibitem{asee_peer_19123}
  Reza Sanati-Mehrizy, Jeffrey H Wright, Afsaneh Minaie, Ali Sanati-Mehrizy, and Paymon Sanati-Mehrizy.
  "A Study of Application of Data Mining Algorithms In Healthcare Industry".
  \emph{2013 ASEE Annual Conference \& Exposition, Atlanta, Georgia, 2013, June}.
  ASEE Conferences, 2013.
  https://peer.asee.org/19123 Internet.  16 Apr, 2024

@INPROCEEDINGS{asee_peer_19123
author = "Reza Sanati-Mehrizy, Jeffrey H Wright, Afsaneh Minaie, Ali Sanati-Mehrizy, and Paymon Sanati-Mehrizy"
title = "A Study of Application of Data Mining Algorithms In Healthcare Industry"
booktitle = "2013 ASEE Annual Conference \& Exposition"
year = "2013"
month = "June"
address = "Atlanta, Georgia"
publisher = "ASEE Conferences"
note = {https://peer.asee.org/19123}
number = {10.18260/1-2--19123}
}

TY  - CPAPER
AB  -        A Study of Application of Data Mining Algorithms in                      Healthcare IndustryAbstract:Data mining is a relatively new area of computer science that brings the concepts ofartificial intelligence, data structures, statistics, and database together. It is a high demandarea because many organizations and businesses can benefit from it. There is no doubtthat using data mining tools in the healthcare system improves decision making by theexperts in this field. It has been seen that groups of people living in certain areas of theworld with particular diets carry specific diseases more than some other groups of people.It will be a great contribution to the healthcare system to know what the root of this typeof problems is. The most critical challenge in this contribution is the issue of datamanagement and utilization. Data mining algorithms can be used to find useful patternsin patients’ statistical data in order to find the associations among certain diseases andpossible causes of them. Thus, health care organizations are finding value as well asstrategic applications to mining both individual patient data and the general analysis ofcommunity data. While significant gains can be obtained and have been noted at theorganizational level of analysis, much attention has been given to the individual, wherethe focal points have centered on privacy and security of patient data. While the privacydebate is a salient issue, data mining (DM) offers broader community-based gains thatenable and improve healthcare forecasting, analyses, and visualization.This paper will study some algorithms that have been used to mine patient data and willevaluate the result of these minings in the context of the healthcare system.
AU  - Reza Sanati-Mehrizy
AU  - Jeffrey H Wright
AU  - Afsaneh Minaie
AU  - Ali Sanati-Mehrizy
AU  - Paymon Sanati-Mehrizy
CY  - Atlanta, Georgia
DA  - 2013/06/23
PB  - ASEE Conferences
TI  - A Study of Application of Data Mining Algorithms In Healthcare Industry
UR  - https://peer.asee.org/19123
DO  - 10.18260/1-2--19123
ER  -