TITLE

DATA MINING TECHNIQUES APPLIED TO AN ENDOSCOPY DATABASE: WHAT ADDITIONAL INFORMATION MIGHT IT GENERATE?

AUTHOR(S)
de la Iglesia, B.; Hsu, C.; Bell, G. D.; Rayward-Smith, V. J.
PUB. DATE
April 2004
SOURCE
Gut;Apr2004 Supplement 3, Vol. 53, pA51
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
This article focuses on a study related to data mining techniques applied to an endoscopy database. Large databases may contain interesting patterns in classification data that represent valuable information that could be used to supplement clinical decisions. However, due to the size and complexity of the data, it is often extremely difficult to identify these patterns from what is lust random variation. To researchers' knowledge data mining techniques have not been previously applied to endoscopy databases.
ACCESSION #
13219012

 

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