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A retrospective comparative study of three data modelling techniques in anticoagulation therapy.

McDonald, Simon and Angelov, Plamen and Xydeas, C. (2008) A retrospective comparative study of three data modelling techniques in anticoagulation therapy. In: BMEI 2008. International Conference on BioMedical Engineering and Informatics, 2008. IEEE, Sanya, China, pp. 219-225. ISBN 978-0-7695-3118-2

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    Abstract

    Three types of data modelling technique are applied retrospectively to individual patients’ anticoagulation therapy data to predict their future levels of anticoagulation. The results of the different models are compared and discussed relative to each other and previous similar studies. The conclusions of earlier papers are reinforced here using an extensive data set and continuously-updating neural network models are shown to predict future INR measurements best of the models presented here.

    Item Type: Contribution in Book/Report/Proceedings
    Additional Information: "©2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE." "This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder."
    Uncontrolled Keywords: bio-informatics
    Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
    Departments: Faculty of Science and Technology > School of Computing & Communications
    ID Code: 1009
    Deposited By: Dr. Plamen Angelov
    Deposited On: 25 Jan 2008 14:45
    Refereed?: No
    Published?: Published
    Last Modified: 22 Oct 2017 01:24
    Identification Number:
    URI: http://eprints.lancs.ac.uk/id/eprint/1009

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