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Please use this identifier to cite or link to this item: http://hdl.handle.net/2262/13299

Title: The Benefits of Using a Complete Probability Distribution when Decision Making: An Example in Anticoagulant Drug Therapy
Author: Carney, Michael
Cunningham, Pádraig
Keywords: Computer Science
Issue Date: 6-Aug-2005
Publisher: Trinity College Dublin, Department of Computer Science
Citation: Carney, Michael; Cunningham, Pádraig. 'The Benefits of Using a Complete Probability Distribution when Decision Making: An Example in Anticoagulant Drug Therapy'. - Dublin, Trinity College Dublin, Department of Computer Science, TCD-CS-2005-58, 2005, pp22
Series/Report no.: Computer Science Technical Report
TCD-CS-2005-58
Abstract: In this paper we aim to show how probabilistic prediction of a continuous variable could be more beneficial to a medical practitioner than classification or numeric/point prediction of the same variable in many scenarios. We introduce a probability density forecasting model that produces accurate estimates and achieves statistically consistent predicted distributions. An empirical evaluation of this approach on the problem of warfarin dosage prediction is described and a comparison of results obtained from our probabilistic models with a number of classification techniques on this problem is also shown.
URI: https://www.cs.tcd.ie/publications/tech-reports/reports.05/TCD-CS-2005-58.pdf
http://hdl.handle.net/2262/13299
Appears in Collections:Computer Science Technical Reports

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