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Modified value iteration for chemotherapy scheduling optimization
Liu, Y. Jiang, H. Su, Z.
George Mason Univ., Fairfax;

This paper appears in: Industrial Engineering and Engineering Management, 2007 IEEE International Conference on
Publication Date: 2-4 Dec. 2007
On page(s): 842-846
Location: Singapore,
ISBN: 978-1-4244-1529-8
INSPEC Accession Number: 9822449
Digital Object Identifier: 10.1109/IEEM.2007.4419309
Current Version Published: 2008-01-04

Abstract
An optimization algorithm for chemotherapy scheduling study is developed in this paper. We consider the density of host and cancer cells of a patient as states, and define the optimal chemotherapy scheduling as the shortest treatment path that will cure the patient, if possible. Given the fact that the treatment time is always interger-valued in our model, we used a modified version of the value iteration algorithm originally designed for Markov Decision Process. Simulation results and discussions are also given.

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