The University of Southampton
University of Southampton Institutional Repository

An Overview of an Intelligent Decision Support System for Breast Cancer Diagnosis and Treatment

Bridgett, N.A., Brandt, J. and Harris, C.J. (1995) An Overview of an Intelligent Decision Support System for Breast Cancer Diagnosis and Treatment At Int. Symp. Large Scale Systems '95. , 281--294.

Record type: Conference or Workshop Item (Other)


In this paper the main systems features are described of a proposed Multimedia INtelligent Oncology Workstation (MINOW) for use in the diagnosis and treatment of breast cancer. The MINOW tool is conceived as a distributed intelligent decision support system based on Object Technology and Open Systems for which development would be an ongoing evolutionary process. Issues of system architecture and interface design have been outlined, and major system components such as the application of a constructive learning algorithm and the use of a fuzzy knowledge repository have been described

Full text not available from this repository.

More information

Published date: July 1995
Additional Information: Organisation: IFAC/IFORS/IMACS Address: London, UK
Venue - Dates: Int. Symp. Large Scale Systems '95, 1995-07-01
Organisations: Southampton Wireless Group


Local EPrints ID: 250242
PURE UUID: e9be0dc3-8ded-4067-86fa-56d0248c7ef5

Catalogue record

Date deposited: 04 May 1999
Last modified: 18 Jul 2017 10:43

Export record


Author: N.A. Bridgett
Author: J. Brandt
Author: C.J. Harris

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton:

ePrints Soton supports OAI 2.0 with a base URL of

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.