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., 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.

Full text not available from this repository. (Request a copy)

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
Related URLs:	http://gut.bmj.com/content/54/suppl_2/a1...
Depositing User:	Vishal Gautam
Date Deposited:	20 Jul 2011 14:08
Last Modified:	29 Jan 2025 00:02
URI:	https://ueaeprints.uea.ac.uk/id/eprint/22978
DOI:

Actions (login required)

View Item