Q-Learning Based Therapy Modeling

Karin Pröll, Witold Jacak

Research output: Chapter in Book/Report/Conference proceedingsConference contributionpeer-review

Abstract

This paper presents a concept for a Decision Support System for Therapy Planning based on the Q-Learning method. It focuses the consideration on a multilevel approach for constructing a data driven evidence based system for classification of different drug dosages and their effectiveness for clinical trials. We consider time - ordered sequences of patient data called patient trials consisting of state, time and medication ordered by clinicians. A patient state generalization function to provide generalized patient states as categories of patient data is presented. For classification of medications we introduce a medication generalization function based on similarity classes of medications and a similarity function between two drug dosages. Both generalization functions are used for generalizing patient trials and for the synthesis of the Q-Learning agent for the Decision Support System.
Original languageEnglish
Title of host publicationProceedings of 21st European Modeling and Simulation Symposium EMSS 2009
PublisherDIPTEM University of Genova
Pages1-6
Publication statusPublished - 2009
Event21st European Modeling and Simulation Symposium 2009 EMSS09 - Tenerife, Spain
Duration: 23 Sep 200925 Sep 2009
http://www.msc-les.org/conf/emss2009/

Conference

Conference21st European Modeling and Simulation Symposium 2009 EMSS09
CountrySpain
CityTenerife
Period23.09.200925.09.2009
Internet address

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