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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 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

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Abstract

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.

Item Type: Article (Journal)
Additional Information: 8915/72209
Uncontrolled Keywords: Oral Squamous Cell Carcinoma (OSCC), Clinic pathological and multilayer feed-forward (MLFF).
Subjects: Q Science > QA Mathematics > QA276 Mathematical Statistics
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Dentistry
Kulliyyah of Dentistry > Paediatric Dentistry, Orthodontics & Dental Public Health
Depositing User: Dr Mohamad Shafiq Mohd Ibrahim
Date Deposited: 16 May 2019 14:14
Last Modified: 16 May 2019 14:14
URI: http://irep.iium.edu.my/id/eprint/72209

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