Parameter estimation and optimal scheduling algorithm for a mathematical model of intermittent androgen suppression therapy for prostate cancer

We propose an algorithm based on cross-entropy to determine parameters of a piecewise linear model, which describes intermittent androgen suppression therapy for prostate cancer. By comparing with clinical data, the parameter estimation for the switched system shows good fitting accuracy and efficie...

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Bibliographic Details
Published in:	Chaos (Woodbury, N.Y.) Vol. 23; no. 4; p. 043125
Main Authors:	Guo, Qian, Lu, Zhichang, Hirata, Yoshito, Aihara, Kazuyuki
Format:	Journal Article
Language:	English
Published:	United States 01.12.2013
Subjects:	Algorithms Androgens - therapeutic use Humans Male Models, Biological Prostatic Neoplasms - drug therapy
ISSN:	1089-7682, 1089-7682
Online Access:	Get more information
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Summary:	We propose an algorithm based on cross-entropy to determine parameters of a piecewise linear model, which describes intermittent androgen suppression therapy for prostate cancer. By comparing with clinical data, the parameter estimation for the switched system shows good fitting accuracy and efficiency. We further optimize switching time points for the piecewise linear model to obtain a feasible therapeutic schedule. The simulation results of therapeutic effect are superior to those of previous strategy.
Bibliography:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23
ISSN:	1089-7682 1089-7682
DOI:	10.1063/1.4833455