NDLI: Visualization of decision rules - from the cardiologist’s point of view

Content Provider	IEEE Xplore Digital Library
Author	Wlodyka, A. Mlynarski, R. Ilczuk, G. Pilat, E. Kargul, W.
Copyright Year	2008
Description	Author affiliation: Upper Silesian Cardiology Centre, Katowice (Wlodyka, A.; Mlynarski, R.; Pilat, E.; Kargul, W.) \|\| Univ. of Silesia, Sosnowiec (Ilczuk, G.)
Abstract	A lot of decision systems work internally using different forms of decision rules. In our experiments on large medical datasets, we found that when the number of conditions in a decision rule increases and the overall number of rules is greater than 20-50, it is really difficult to analyze and manage the stored knowledge. Our research concentrated on two methods of the visualization of decision rules: decision trees (AQDT-2 algorithm) and the so-called rule-diagrams, which present conditional parts of decision rules in a 3D matrix (2D layers are stacked in 3D cube). Experts agreed that decision trees present an attractive possibility of data visualization for small sets of rules (up to 100). They are intuitively understandable and with our own extensions, they provide a quick method for checking several what-if scenarios. For larger sets of rules (more then 100) rule-diagrams are definitely the better methods for analyzing patterns within data.
Starting Page	645
Ending Page	648
File Size	277456
Page Count	4
File Format	PDF
ISBN	9781424437061
ISSN	02766547
DOI	10.1109/CIC.2008.4749124
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-09-14
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Computers in Cardiology(CinC)
Subject Keyword	Decision trees Cardiology Data visualization Computers Three dimensional displays Pacemakers Medical diagnostic imaging
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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