Cart (Loading....) | Create Account
Close category search window
 

Diagnostic reasoning model validation in digestive endoscopy

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

6 Author(s)
Cauvin, J.M. ; Med. Inf. Dept., Univ. Hosp., Brest, France ; Le Guillou, C. ; Solaiman, B. ; Robaszkiewicz, M.
more authors

The development of a computer-assisted diagnostic system in digestive endoscopy implies to understand the reasoning process of endoscopists. The aim of this study is to validate a reasoning model and a knowledge base previously defined. Eight endoscopists have participated to a diagnostic test including 5 video-sequences and using a "thinking aloud" method. The physician discourse was compared with the knowledge base contents Forty requests, built with indices extracted from endoscopist talks were submitted to the diagnostic research system. The main results show that the endoscopists evoke all the information types defined in the knowledge base. Endoscopists well distinguish the endoscopic findings and diagnoses. They combine data-driven and hypothesis-driven approaches during the diagnostic process. Faced to complex diagnostic problem solving, they promote an analytical approach. The 40 requests have led to the correct finding class, as unique or first response in 25, second or other rank response in 12, and failed to recognize the lesion in 3 cases. These results are consistent with the reasoning model and the knowledge base content They suggest several ways for improving the diagnostic aid system, the research approach as well as the user interface.

Published in:

Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE  (Volume:4 )

Date of Conference:

2001

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.