Modelling the cancer growth process by stochastic delay differential equations under verhults and gompertz’s law

In this paper, the uncontrolled environmental factors are perturbed into the intrinsic growth rate factor of deterministic equations of the growth process. The growth process under two different laws which are Verhults and Gompertz’s law are considered, thus leading to stochastic delay differential...

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Main Authors: Mazma Syahidatul Ayuni, Mazlan, Norhayati, Rosli, Nina Suhaity, Azmi
Format: Article
Language:en
en
Published: Penerbit Universiti Teknologi Malaysia 2016
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Online Access:http://umpir.ump.edu.my/id/eprint/13507/1/Modelling%20The%20Cancer%20Growth%20Process%20By%20Stochastic%20Delay%20Differential%20Equations%20Under%20Verhults%20and%20Gompertz%E2%80%99s%20Law.pdf
http://umpir.ump.edu.my/id/eprint/13507/7/Modelling%20the%20Cancer%20Growth%20Process%20by%20Stochastic%20Delay%20Differential%20Equations%20Under%20Verhults%20and%20Gompertz%E2%80%99s%20Law.pdf
http://umpir.ump.edu.my/id/eprint/13507/
http://www.jurnalteknologi.utm.my/index.php/jurnalteknologi/article/view/7817
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author Mazma Syahidatul Ayuni, Mazlan
Norhayati, Rosli
Nina Suhaity, Azmi
author_facet Mazma Syahidatul Ayuni, Mazlan
Norhayati, Rosli
Nina Suhaity, Azmi
author_sort Mazma Syahidatul Ayuni, Mazlan
building UMPSA Library
collection Institutional Repository
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
continent Asia
country Malaysia
description In this paper, the uncontrolled environmental factors are perturbed into the intrinsic growth rate factor of deterministic equations of the growth process. The growth process under two different laws which are Verhults and Gompertz’s law are considered, thus leading to stochastic delay differential equations (SDDEs) of logistic and Gompertzian, respectively. Gompertzian deterministic model has been proved to fit well the clinical data of cancerous growth, however the performance of stochastic model towards clinical data is yet to be confirmed. The prediction quality of logistic and Gompertzian SDDEs are evaluating by comparing the simulated results with the clinical data of cervical cancer growth. The parameter estimation of stochastic models is computed by using simulated maximum likelihood method. We adopt 4-stage stochastic Runge-Kutta to simulate the solution of stochastic models.
format Article
id my.ump.umpir.13507
institution Universiti Malaysia Pahang
language en
en
publishDate 2016
publisher Penerbit Universiti Teknologi Malaysia
record_format eprints
spelling my.ump.umpir.135072023-04-11T04:43:48Z http://umpir.ump.edu.my/id/eprint/13507/ Modelling the cancer growth process by stochastic delay differential equations under verhults and gompertz’s law Mazma Syahidatul Ayuni, Mazlan Norhayati, Rosli Nina Suhaity, Azmi Q Science (General) In this paper, the uncontrolled environmental factors are perturbed into the intrinsic growth rate factor of deterministic equations of the growth process. The growth process under two different laws which are Verhults and Gompertz’s law are considered, thus leading to stochastic delay differential equations (SDDEs) of logistic and Gompertzian, respectively. Gompertzian deterministic model has been proved to fit well the clinical data of cancerous growth, however the performance of stochastic model towards clinical data is yet to be confirmed. The prediction quality of logistic and Gompertzian SDDEs are evaluating by comparing the simulated results with the clinical data of cervical cancer growth. The parameter estimation of stochastic models is computed by using simulated maximum likelihood method. We adopt 4-stage stochastic Runge-Kutta to simulate the solution of stochastic models. Penerbit Universiti Teknologi Malaysia 2016 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/13507/1/Modelling%20The%20Cancer%20Growth%20Process%20By%20Stochastic%20Delay%20Differential%20Equations%20Under%20Verhults%20and%20Gompertz%E2%80%99s%20Law.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/13507/7/Modelling%20the%20Cancer%20Growth%20Process%20by%20Stochastic%20Delay%20Differential%20Equations%20Under%20Verhults%20and%20Gompertz%E2%80%99s%20Law.pdf Mazma Syahidatul Ayuni, Mazlan and Norhayati, Rosli and Nina Suhaity, Azmi (2016) Modelling the cancer growth process by stochastic delay differential equations under verhults and gompertz’s law. Jurnal Teknologi (Sciences and Engineering), 78. pp. 77-82. ISSN 0127-9696 (print); 2180-3722 (online). (Published) http://www.jurnalteknologi.utm.my/index.php/jurnalteknologi/article/view/7817 DOI: http://dx.doi.org/10.11113/jt.v78.7817
spellingShingle Q Science (General)
Mazma Syahidatul Ayuni, Mazlan
Norhayati, Rosli
Nina Suhaity, Azmi
Modelling the cancer growth process by stochastic delay differential equations under verhults and gompertz’s law
title Modelling the cancer growth process by stochastic delay differential equations under verhults and gompertz’s law
title_full Modelling the cancer growth process by stochastic delay differential equations under verhults and gompertz’s law
title_fullStr Modelling the cancer growth process by stochastic delay differential equations under verhults and gompertz’s law
title_full_unstemmed Modelling the cancer growth process by stochastic delay differential equations under verhults and gompertz’s law
title_short Modelling the cancer growth process by stochastic delay differential equations under verhults and gompertz’s law
title_sort modelling the cancer growth process by stochastic delay differential equations under verhults and gompertz’s law
topic Q Science (General)
url http://umpir.ump.edu.my/id/eprint/13507/1/Modelling%20The%20Cancer%20Growth%20Process%20By%20Stochastic%20Delay%20Differential%20Equations%20Under%20Verhults%20and%20Gompertz%E2%80%99s%20Law.pdf
http://umpir.ump.edu.my/id/eprint/13507/7/Modelling%20the%20Cancer%20Growth%20Process%20by%20Stochastic%20Delay%20Differential%20Equations%20Under%20Verhults%20and%20Gompertz%E2%80%99s%20Law.pdf
http://umpir.ump.edu.my/id/eprint/13507/
http://www.jurnalteknologi.utm.my/index.php/jurnalteknologi/article/view/7817
url_provider http://umpir.ump.edu.my/