Q-Learning based Therapy Planning Decision Support System

Witold Jacak, Karin Pröll

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

Abstract

This paper presents an approach for a Q-Learning based Decision Support System for Therapy Planning. It focuses the consideration on a multilevel approach for constructing a data driven evidence based model for classification of different drug dosages and their effectiveness for clinical trials. We consider time - ordered sequences of patient data (critical patient events) called patient trials consisting of state, time and the medication ordered by clinicians. A patient state generalization function to provide generalized patient states as categories of patient observation vectors is presented which is based on a neural network. 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 the life long quality function to synthesize the Q-Learning agent for the Decision Support System.
Original languageEnglish
Title of host publicationProceedings - 3rd International Conference on Broadband Communications, Informatics and Biomedical Applications, BroadCom 2008
Pages70-75
Number of pages6
DOIs
Publication statusPublished - 2008
Event3rd International Conference on Broadband Communications, Information Technology & Biomedical Applications BroadCom' 08 - Pretoria, South Africa
Duration: 23 Nov 200826 Nov 2008
http://broadcom.eng.uts.edu.au/broadcom08

Publication series

NameProceedings - 3rd International Conference on Broadband Communications, Informatics and Biomedical Applications, BroadCom 2008

Conference

Conference3rd International Conference on Broadband Communications, Information Technology & Biomedical Applications BroadCom' 08
CountrySouth Africa
CityPretoria
Period23.11.200826.11.2008
Internet address

Keywords

  • q-learning
  • medical decision system

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