| EPSRC Reference: |
GR/J29916/01 |
| Title: |
ARTIFICIAL NEURAL NETWORKS IN CLINICAL DECISION SUPPORT |
| Principal Investigator: |
Harrison, Professor RF |
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| Department: |
Automatic Control and Systems Eng |
| Organisation: |
University of Sheffield |
| Scheme: |
Standard Research (Pre-FEC) |
| Starts: |
11 October 1993 |
Ends: |
10 October 1996 |
Value (£): |
118,060
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Summary on Grant Application Form |
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The purpose of this work is to provide the necessary framework for the development of useful and usable neural-network-based clinical decision support systems and to demonstrate the validity of the generic results via a particular application. Specifically we aim: 1) to develop a method for answer justification and interpretation in neural network-based systems. 2) to make use of feedback from a neural network to guide data entry in an intelligent way. 3) to integrate the above into a prototype clinical decision support system to assist in the early diagnosis of myocardial infarction or heart attack.
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Key Findings |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Potential use in non-academic contexts |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Impacts |
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| Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
| Summary |
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| Date Materialised |
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Sectors submitted by the Researcher |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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| Project URL: |
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| Further Information: |
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| Organisation Website: |
http://www.shef.ac.uk |