| EPSRC Reference: |
GR/N03471/01 |
| Title: |
DYNAMIC PROBABILISTIC NETWORKS FOR BIOMEDICAL DATA ANALYSIS |
| Principal Investigator: |
Roberts, Professor S |
| Other Investigators: |
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| Researcher Co-Investigators: |
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| Project Partners: |
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| Department: |
Engineering Science |
| Organisation: |
University of Oxford |
| Scheme: |
Standard Research (Pre-FEC) |
| Starts: |
01 November 2000 |
Ends: |
31 October 2003 |
Value (£): |
170,445
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| EPSRC Research Topic Classifications: |
| Intelligent & Expert Systems |
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| EPSRC Industrial Sector Classifications: |
| No relevance to Underpinning Sectors |
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Summary on Grant Application Form |
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The aim of the project is to develop mixtures of dynamic probabilistic networks which model dynamic structure changes in the interactions between variables form physiological systems. There is an increasing interest in the connections between physiological processes. For example, during sleep, the processes is only partially known. Modelling the relationships between variables through a dynamic probabilistic network (DPN) structure is intuitive and has much explanatory appeal. There are various algorithms for estimating structure in a DPN. Most of these are heuristic search methods however and are aimed at producing a single static model which eaves many possible structures unexplored. We aim to develop methods for determining dynamically evolving structure and to compare this with methods whereby switches are made between different DPN models. All methods will be tested on a very large data base of biomedical data.
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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.ox.ac.uk |