Modeling of survival time of oral squamous cell carcinomas (OSCC) in Hospital Universiti Sains Malaysia using multilayer feedforward neural network
The oral squamous cell carcinoma (OSCC) is the most common malignant neoplasm of the oral cavity with up to 50% of the mortality rate. It has been reported about 14.1 million new cancer cases and 8.2 million cancer deaths in 2012. Numbers of studies have been performed to investigate the factors th...
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Journal Of Science And Arts
2018
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| Online Access: | http://irep.iium.edu.my/72209/ http://irep.iium.edu.my/72209/ http://irep.iium.edu.my/72209/1/c_01_Ahmad_WMAW_1061-1066.pdf |
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iium-722092019-05-16T06:14:57Z http://irep.iium.edu.my/72209/ Modeling of survival time of oral squamous cell carcinomas (OSCC) in Hospital Universiti Sains Malaysia using multilayer feedforward neural network Wan Ahmad, Wan Muhamad Amir Awang Nawi, Mohamad Arif Mohd Ibrahim, Mohamad Shafiq Ali, Zalila Aleng, Nor Azlida Husein, Adam Abdul Halim, Nurfadhlina QA276 Mathematical Statistics The oral squamous cell carcinoma (OSCC) is the most common malignant neoplasm of the oral cavity with up to 50% of the mortality rate. It has been reported about 14.1 million new cancer cases and 8.2 million cancer deaths in 2012. Numbers of studies have been performed to investigate the factors that have direct and indirect or both associated with the OSCC, including their survival time. In this paper, the potential clinic pathological prognostic factors will be determined in patients who attended Hospital Universiti Sains Malaysia (USM) from 2005 to 2015 using multilayer feed-forward (MLFF) neural network. The objective of the current study is to develop a multilayer feed-forward (MLFF) neural network model of time survival of OSCC. Alcohol, tumor site, tumor size and betel quid were significant. These four variables were used to develop the best (MLFF) neural network model of OSCC. Journal Of Science And Arts 2018 Article PeerReviewed application/pdf en http://irep.iium.edu.my/72209/1/c_01_Ahmad_WMAW_1061-1066.pdf Wan Ahmad, Wan Muhamad Amir and Awang Nawi, Mohamad Arif and Mohd Ibrahim, Mohamad Shafiq and Ali, Zalila and Aleng, Nor Azlida and Husein, Adam and Abdul Halim, Nurfadhlina (2018) Modeling of survival time of oral squamous cell carcinomas (OSCC) in Hospital Universiti Sains Malaysia using multilayer feedforward neural network. Journal of Science and Arts, 4 (45). pp. 1045-1050. ISSN 2068-3049 http://www.icstm.ro/DOCS/josa/josa_2018_4/c_01_Ahmad_WMAW_1061-1066.pdf |
| repository_type |
Digital Repository |
| institution_category |
Local University |
| institution |
International Islamic University Malaysia |
| building |
IIUM Repository |
| collection |
Online Access |
| language |
English |
| topic |
QA276 Mathematical Statistics |
| spellingShingle |
QA276 Mathematical Statistics Wan Ahmad, Wan Muhamad Amir Awang Nawi, Mohamad Arif Mohd Ibrahim, Mohamad Shafiq Ali, Zalila Aleng, Nor Azlida Husein, Adam Abdul Halim, Nurfadhlina Modeling of survival time of oral squamous cell carcinomas (OSCC) in Hospital Universiti Sains Malaysia using multilayer feedforward neural network |
| description |
The oral squamous cell carcinoma (OSCC) is the most common malignant neoplasm of the oral cavity with up to 50% of the mortality rate. It has been reported about
14.1 million new cancer cases and 8.2 million cancer deaths in 2012. Numbers of studies have been performed to investigate the factors that have direct and indirect or both associated with the OSCC, including their survival time. In this paper, the potential clinic pathological prognostic factors will be determined in patients who attended Hospital Universiti Sains Malaysia (USM) from 2005 to 2015 using multilayer feed-forward (MLFF)
neural network. The objective of the current study is to develop a multilayer feed-forward (MLFF) neural network model of time survival of OSCC. Alcohol, tumor site, tumor size and betel quid were significant. These four variables were used to develop the best (MLFF) neural
network model of OSCC. |
| format |
Article |
| author |
Wan Ahmad, Wan Muhamad Amir Awang Nawi, Mohamad Arif Mohd Ibrahim, Mohamad Shafiq Ali, Zalila Aleng, Nor Azlida Husein, Adam Abdul Halim, Nurfadhlina |
| author_facet |
Wan Ahmad, Wan Muhamad Amir Awang Nawi, Mohamad Arif Mohd Ibrahim, Mohamad Shafiq Ali, Zalila Aleng, Nor Azlida Husein, Adam Abdul Halim, Nurfadhlina |
| author_sort |
Wan Ahmad, Wan Muhamad Amir |
| title |
Modeling of survival time of oral squamous cell carcinomas (OSCC) in Hospital Universiti Sains
Malaysia using multilayer feedforward neural network |
| title_short |
Modeling of survival time of oral squamous cell carcinomas (OSCC) in Hospital Universiti Sains
Malaysia using multilayer feedforward neural network |
| title_full |
Modeling of survival time of oral squamous cell carcinomas (OSCC) in Hospital Universiti Sains
Malaysia using multilayer feedforward neural network |
| title_fullStr |
Modeling of survival time of oral squamous cell carcinomas (OSCC) in Hospital Universiti Sains
Malaysia using multilayer feedforward neural network |
| title_full_unstemmed |
Modeling of survival time of oral squamous cell carcinomas (OSCC) in Hospital Universiti Sains
Malaysia using multilayer feedforward neural network |
| title_sort |
modeling of survival time of oral squamous cell carcinomas (oscc) in hospital universiti sains
malaysia using multilayer feedforward neural network |
| publisher |
Journal Of Science And Arts |
| publishDate |
2018 |
| url |
http://irep.iium.edu.my/72209/ http://irep.iium.edu.my/72209/ http://irep.iium.edu.my/72209/1/c_01_Ahmad_WMAW_1061-1066.pdf |
| first_indexed |
2023-09-18T21:42:22Z |
| last_indexed |
2023-09-18T21:42:22Z |
| _version_ |
1777413225059450880 |