The Benefits of Using a Complete Probability Distribution when Decision Making: An Example in Anticoagulant Drug Therapy
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Citation:Carney, Michael; Cunningham, Padraig. '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
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.
Publisher:Trinity College Dublin, Department of Computer Science
Series/Report no:Computer Science Technical Report