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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References
Angelov, P., Filev, D.: An Approach to On-line Identification of Takagi-Sugeno Fuzzy Models. IEEE Trans. Sys., Man, Cyb., part B - Cybernetics 34(1), 484–498 (2004)
Evans, J.M., Henderson, L.E., Goudie, B., MacDonald, T.M., Davey, P.G.: Demand for warfarin anticoagulation monitoring in Tayside, Scotland. Health-Bull-(Edinb.) 55(2), 88–93 (1997)
Rose, P.E., et al.: British Committee for Standards in Haematology. Guidelines on Oral Anticoagulation: Third Edition, Br. J. Haem. 101, 374–387 (1998)
Fitzmaurice, D., Hobbs, F.R., McManus, R.: Thromboembolism. Clin. Ev. Concise. 10, 40–42 (2003)
Vadher, B., Patterson, D.L.H., Leaning, M.: Evaluation of a decision support system for initiation and control of oral anticoagulation in a randomised trial. BMJÂ 314, 1252 (1997)
Angelov, P., Zhou, X.: Evolving Fuzzy-Rule-based Classifiers from Data Streams. IEEE Trans. Fuzzy Sys. ISSN 1063-6706; special issue on Evolving Fuzzy Systems 16(4) (2008) doi 101109/TFUZZ.2008.925904
McDonald, S., Xydeas, C., Angelov, P.: A Retrospective Comparative Study of three Data Modelling Techniques in Anticoagulation Therapy. In: IEEE Biomedical Engineering and Informatics Conference, Hainan, May 27-30 (2008) ISBN: 978-0-7695-3118-2
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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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