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Q-Learning Based Therapy Planning Decision Support System

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2 Author(s)
Jacak, W. ; Dept. of Software Eng., Upper Austria Univ. of Appl. Sci., Softwarepark ; Proll, K.

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.

Published in:

Broadband Communications, Information Technology & Biomedical Applications, 2008 Third International Conference on

Date of Conference:

23-26 Nov. 2008