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FUZZY
LOGIC RESEARCH AIMS TO AID DOCTORS IN DIAGNOSIS AND TREATMENT DECISIONS
Innovative research at De Montfort University (DMU) is exploring how
software can help medics make complex diagnosis and treatment decisions
for patients with conditions such as breast cancer.
Fuzzy logic experts at the University have begun the three-year research
project which is supported by £145,000 from the Engineering and
Physical Sciences Research Council (EPSRC).
Working with medical experts at
Nottingham
University
, Professor Bob John, Director of DMU's
Centre for Computational Intelligence, will look at how doctors can use
computer software to reach decisions in complicated medical cases.
The project, entitled "Towards a Framework for Modelling Variation
in Automated Decision Support", builds on the growing reputation of
the Centre for Computational Intelligence as a world leader in type-2
fuzzy logic.
Fuzzy logic is software which is able to reach a conclusion based on
vague information. It mimics the human approach to problem solving but
arrives at a decision much more quickly than people do.
Professor Bob John said: "This project aims to investigate the
possibility of using fuzzy logic to help doctors make better decisions,
faster.
"It will establish a framework for creating a 'decision support
system' that models the complexities of several experts reaching a
consensus."
Professor Bob John is a Principal Investigator on the project, along
with Dr Jon Garibaldi of the
University
of
Nottingham
. The project is being carried out in
partnership with researchers at the Automated Scheduling, Optimisation
and Planning Research Group at the
University
of
Nottingham
.
Researchers on the project are consulting with Ian Ellis, a Professor of
Cancer Pathology, and his colleagues in the Breast Cancer Pathology
Research Group at the
University
of
Nottingham
. It is hoped that in the future the
technology will assist in the diagnosis of breast cancer and in
selecting the appropriate treatment for each individual patient.
Fuzzy
logic research
(20/5/06)
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