Mining risk patterns in medical data

Li, Jiuyong and Fu, Ada Wai-Chee and He, Hongxing and Chen, Jie and Jin, Huidong and McAullay, Damien and Williams, Graham and Sparks, Ross and Kelman, Chris (2005) Mining risk patterns in medical data. In: 11th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2005), 21-24 Aug 2005, Chicago, IL. United States.

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Abstract

In this paper, we discuss a problem of finding risk patterns in medical data. We define risk patterns by a statistical metric, relative risk, which has been widely used in epidemiological research. We characterise the problem of mining risk patterns as an optimal rule discovery problem. We study an anti-monotone property for mining optimal risk pattern sets and present an algorithm to make use of the property in risk pattern discovery. The method has been applied to a real world data set to find patterns associated with an allergic event for ACE inhibitors. The algorithm has generated some useful
results for medical researchers.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. To copy otherwise, to republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee.
Faculty / Department / School: Historic - Faculty of Sciences - Department of Maths and Computing
Date Deposited: 30 Nov 2007 11:55
Last Modified: 23 May 2018 06:05
Uncontrolled Keywords: relative risk; rule; optimal risk pattern set; medical application
Fields of Research : 08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080109 Pattern Recognition and Data Mining
11 Medical and Health Sciences > 1117 Public Health and Health Services > 111711 Health Information Systems (incl. Surveillance)
08 Information and Computing Sciences > 0802 Computation Theory and Mathematics > 080201 Analysis of Algorithms and Complexity
Socio-Economic Objective: E Expanding Knowledge > 97 Expanding Knowledge > 970108 Expanding Knowledge in the Information and Computing Sciences
Identification Number or DOI: 10.1145/1081870.1081971
URI: http://eprints.usq.edu.au/id/eprint/11829

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