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Application of an Adaptive Neural Network to Medical Decision Support

journal contribution
posted on 1999-01-01, 00:00 authored by Chee Peng LimChee Peng Lim, H Toh, T Lee, R Harrison, R Kennedy
Medical diagnostic and prognostic problems are prime examples of decision making in the face of uncertainty. In this paper, we investigate the applicability of the Fuzzy ARTMAP neural network as an intelligent decision support system in clinical medicine. In particular, Fuzzy ARTMAP is employed as a predictive model for prognosis of complications in patients admitted to the Coronary Care Units. A number of off-line and on-line experiments have been conducted with various network parameter settings, training methods, and learning rules. The results are compared with those from other systems including the logistic regression model. In addition, the outcomes of a set of on-line learning experiments revealed the potential of employing Fuzzy ARTMAP as an autono-mously learning system that is able to learn perpetually and, at the same time, to provide useful decision support.

History

Journal

International journal of the computer, the internet and management

Volume

7

Issue

1

Publisher

Assumption University

Location

Bangkok, Thailand

ISSN

0858-7027

Language

eng

Publication classification

C2.1 Other contribution to refereed journal

Copyright notice

1999, Assumption University

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