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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© 2009 Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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McDonald, S., Xydeas, C., Angelov, P. (2009). Decision Support Systems: Improving Levels of Care and Lowering Costs in Anticoagulation Therapy. In: Weerasinghe, D. (eds) Electronic Healthcare. eHealth 2008. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 0001. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00413-1_22
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DOI: https://doi.org/10.1007/978-3-642-00413-1_22
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