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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Vydáno v:Chaos (Woodbury, N.Y.) Ročník 23; číslo 4; s. 043125
Hlavní autoři: Guo, Qian, Lu, Zhichang, Hirata, Yoshito, Aihara, Kazuyuki
Médium: Journal Article
Jazyk:angličtina
Vydáno: United States 01.12.2013
Témata:
Algorithms
Androgens - therapeutic use
Humans
Male
Models, Biological
Prostatic Neoplasms - drug therapy
ISSN:1089-7682, 1089-7682
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Shrnutí: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.
Bibliografie:ObjectType-Article-1
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ISSN:1089-7682
1089-7682
DOI:10.1063/1.4833455