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A Study of Application of Data Mining Algorithms In Healthcare Industry

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Collection

2013 ASEE Annual Conference & Exposition

Location

Atlanta, Georgia

Publication Date

June 23, 2013

Start Date

June 23, 2013

End Date

June 26, 2013

ISSN

2153-5965

Conference Session

Information and Network Security

Tagged Division

Computing & Information Technology

Page Count

7

Page Numbers

23.109.1 - 23.109.7

Permanent URL

https://peer.asee.org/19123

Download Count

57

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Paper Authors

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Reza Sanati-Mehrizy Utah Valley University

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REZA SANATI MEHRIZY is a professor of Computing Sciences Department at Utah Valley University, Orem, Utah. He received his MS and PhD in Computer Science from University of Oklahoma, Norman, Oklahoma. His research focuses on diverse areas such as: Database Design, Data Structures, Artificial Intelligence, Robotics, Computer Integrated Manufacturing, Data Mining, Data Warehousing and Machine
Learning.

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Jeffrey H Wright

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Jeff is a senior at Utah Valley University pursuing a BS in Computer Science with an emphasis in Database Engineering. He is currently employed at Lucid Software Inc.

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Afsaneh Minaie Utah Valley University

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Afsaneh Minaie is a professor of Computer Engineering at Utah Valley University. Her research interests include gender issues in the academic sciences and engineering fields, Embedded Systems Design, Mobile Computing, Wireless Sensor Networks, and Databases.

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Ali Sanati-Mehrizy

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Dr. Ali Sanati-Mehrizy is a graduate of the Milton S. Hershey Pennsylvania State University College of Medicine. He completed his undergraduate studies in Biology from the University of Utah. In July 2013, he will begin a Pediatrics residency at the UMDNJ-Newark University Hospital. His research interests involve pediatric hematology and oncology as well as higher education curricula, both with universities and medical schools.

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Paymon Sanati-Mehrizy Icahn School of Medicine at Mount Sinai

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Paymon is currently a medical student at the Icahn School of Medicine at Mont Sinai. Paymon completed his Bachelor of Arts in Biology in May 2012. Currently, his research interests consist of higher education curricula, particularly in fields that incorporate science with medicine.

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Abstract

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.

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