Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter
}
TY - CHAP
T1 - A retrospective comparative study of three data modelling techniques in anticoagulation therapy.
AU - McDonald, Simon
AU - Angelov, Plamen
AU - Xydeas, C.
N1 - "©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."
PY - 2008/5/28
Y1 - 2008/5/28
N2 - 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.
AB - 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.
KW - bio-informatics
M3 - Chapter
SN - 978-0-7695-3118-2
SP - 219
EP - 225
BT - BMEI 2008. International Conference on BioMedical Engineering and Informatics, 2008.
PB - IEEE
CY - Sanya, China
T2 - 2008 International Conference on BioMedical Engineering and Informatics
Y2 - 28 May 2008 through 30 May 2008
ER -