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BMEI
2008
IEEE

A Retrospective Comparative Study of Three Data Modelling Techniques in Anticoagulation Therapy

8 years 9 months ago
A Retrospective Comparative Study of Three Data Modelling Techniques in Anticoagulation Therapy
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, that machine learning could help anticoagulation clinicians achieve better results, are reinforced here using an extensive data set. Continuously-updating neural network models are shown to predict future INR measurements best of the three types of models presented here.
Simon McDonald, Costas S. Xydeas, Plamen P. Angelo
Added 29 May 2010
Updated 29 May 2010
Type Conference
Year 2008
Where BMEI
Authors Simon McDonald, Costas S. Xydeas, Plamen P. Angelov
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