dc.contributor.author | Carney, Michael | |
dc.contributor.author | Cunningham, Padraig | |
dc.date.accessioned | 2008-01-22T12:14:02Z | |
dc.date.available | 2008-01-22T12:14:02Z | |
dc.date.issued | 2005-08-06 | |
dc.identifier.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 | en |
dc.identifier.other | TCD-CS-2005-58 | |
dc.description.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. | en |
dc.format.extent | 274414 bytes | |
dc.format.mimetype | application/pdf | |
dc.language.iso | en | en |
dc.publisher | Trinity College Dublin, Department of Computer Science | en |
dc.relation.ispartofseries | Computer Science Technical Report | en |
dc.relation.ispartofseries | TCD-CS-2005-58 | en |
dc.relation.haspart | TCD-CS-[no.] | en |
dc.subject | Computer Science | en |
dc.title | The Benefits of Using a Complete Probability Distribution when Decision Making: An Example in Anticoagulant Drug Therapy | en |
dc.type | Technical Report | en |
dc.identifier.rssuri | https://www.cs.tcd.ie/publications/tech-reports/reports.05/TCD-CS-2005-58.pdf | |
dc.identifier.uri | http://hdl.handle.net/2262/13299 | |