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 inChaos (Woodbury, N.Y.) Vol. 23; no. 4; pp. 043125 - 43133
Main Authors Guo, Qian, Lu, Zhichang, Hirata, Yoshito, Aihara, Kazuyuki
Format Journal Article
LanguageEnglish
Published United States 01.12.2013
Subjects
Algorithms
Androgens - therapeutic use
Humans
Male
Models, Biological
Prostatic Neoplasms - drug therapy
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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.
ISSN:1054-1500
1089-7682
DOI:10.1063/1.4833455