Research Article
Decision Support Systems: Improving Levels of Care and Lowering Costs in Anticoagulation Therapy
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@INPROCEEDINGS{10.1007/978-3-642-00413-1_22, author={Simon McDonald and Costas Xydeas and Plamen Angelov}, title={Decision Support Systems: Improving Levels of Care and Lowering Costs in Anticoagulation Therapy}, proceedings={Electronic Healthcare. First International Conference, eHealth 2008, London, UK, September 8-9, 2008. Revised Selected Papers}, proceedings_a={E-HEALTH}, year={2012}, month={5}, keywords={Decision Support Systems Classification Prediction Anticoagulation}, doi={10.1007/978-3-642-00413-1_22} }- Simon McDonald
Costas Xydeas
Plamen Angelov
Year: 2012
Decision Support Systems: Improving Levels of Care and Lowering Costs in Anticoagulation Therapy
E-HEALTH
Springer
DOI: 10.1007/978-3-642-00413-1_22
Abstract
The objectives of this work in progress are to improve the levels of care in anticoagulation therapy while reducing the effort required and the costs. This will be achieved by the preprocessing of the available real world data and projecting it into a suitable analysis space before modelling with individualised, constantly learning Evolving Takagi Sugeno [1] and Connectivist Network-type models whose structure and parameters are the result of extensive research. It is hoped that this will lead to accurate predictions of the future levels of anticoagulation from a given dose recommendation.
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