Data mining techniques can be used to rapidly interrogate an endoscopy database and calculate 'adjusted' colonoscopy success or failure rates - but what criteria should be used to define such success?

Sheikh, K., Reynolds, A. P., de la Iglesia, B. ORCID: https://orcid.org/0000-0003-2675-5826, Bell, G. D. and Tighe, R. (2005) Data mining techniques can be used to rapidly interrogate an endoscopy database and calculate 'adjusted' colonoscopy success or failure rates - but what criteria should be used to define such success? In: British Society of Gastroenterology Annual Meeting, 2006-03-20 - 2006-03-23.

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Item Type:	Conference or Workshop Item (Poster)
Faculty \ School:	Faculty of Science > School of Computing Sciences
UEA Research Groups:	Faculty of Medicine and Health Sciences > Research Centres > Business and Local Government Data Research Centre (former - to 2023) Faculty of Science > Research Groups > Data Science and AI Faculty of Science > Research Groups > Norwich Epidemiology Centre Faculty of Medicine and Health Sciences > Research Groups > Norwich Epidemiology Centre Faculty of Science > Research Groups > Health Computing
Related URLs:	http://gut.bmj.com/content/54/suppl_2/a1...
Depositing User:	Vishal Gautam
Date Deposited:	20 Jul 2011 14:08
Last Modified:	18 Jun 2026 21:06
URI:	https://ueaeprints.uea.ac.uk/id/eprint/22978
DOI:

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