An approximate reasoning model for medical diagnosis

Title: An approximate reasoning model for medical diagnosis
Creator: Fernando, Irosh; Henskens, Frans; Cohen, Martin
Relation: Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing p. 11-24
Relation: Studies in Computational Intelligence 492
Publisher Link: http://dx.doi.org/10.1007/978-3-319-00738-0_2
Publisher: Springer International Publishing
Resource Type: book chapter
Date: 2013
Description: Medical diagnosis is a classical example of approximate reasoning, and also one of the earliest applications of expert systems. The existing approaches to approximate reasoning in medical diagnosis are mainly based on Probability Theory and/or Multivalued Logic. Unfortunately, most of these approaches have not been able to model medical diagnostic reasoning sufficiently, or in a clinically intuitive way. The model described in this paper attempts to overcome the main limitations of the existing approaches.
Subject: approximate reasoning; medical expert systems; inference model; psychiatry
Identifier: http://hdl.handle.net/1959.13/1066665
Identifier: uon:18199
Identifier: ISBN:9783319007373
Language: eng