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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| Format: | Article |
| Language: | English English |
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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 |
| _version_ | 1796991394492973056 |
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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 |
| collection | UMP |
| 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. |
| first_indexed | 2024-03-06T12:04:50Z |
| format | Article |
| id | UMPir13507 |
| institution | Universiti Malaysia Pahang |
| language | English English |
| last_indexed | 2024-03-06T12:04:50Z |
| publishDate | 2016 |
| publisher | Penerbit Universiti Teknologi Malaysia |
| record_format | dspace |
| spelling | UMPir135072023-04-11T04:43:48Z 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 |
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