Publication:
A Statistical Application On Determining The Prognostic Factors Of Oral Squamous Cell Carcinomas (oscc) In Malaysia

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dc.contributor.authorWan Muhamad Amir W Ahmaden_US
dc.contributor.authorNurhayu Abdul Rahmanen_US
dc.contributor.authorMuhammad Azeem Yaqooben_US
dc.contributor.authorNor Azlida Alengen_US
dc.contributor.authorNurfadhlina Abdul Halimen_US
dc.contributor.authorMohamad Arif Awang Nawien_US
dc.date.accessioned2024-05-28T04:36:00Z
dc.date.available2024-05-28T04:36:00Z
dc.date.issued2019
dc.date.submitted30/12/2019
dc.descriptionVolume :8 Issue :2en_US
dc.description.abstractOral cancer is an important global health concern, representing the sixth most frequent malignant tumor. The oral squamous cell carcinoma (OSCC) is the most common malignant neoplasm of the oral cavity with up to 50% of mortality rate (highest prevalence being identified in Asia). In 2012, it has been reported that 14.1 million new cancer cases and 8.2 million cancer deaths. 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 clinicopathological prognostic factors will be determined in patients who attended Hospital Universiti Sains Malaysia from 2005 to 2015. For such prediction, the use of hazard regression is used previously, but here an attempt is made to propose a covariate-dependent prognostic model to identify the factors and the predictor importance according to the statistical significant point of view. The proposed model is very useful for the prediction and for the inferences of the patient’s management time with the high-risk clinicopathological factors.en_US
dc.identifier.doi10.35940/ijrte.A1000.078219
dc.identifier.epage5
dc.identifier.issn2277-3878
dc.identifier.issue2
dc.identifier.spage1
dc.identifier.urihttps://www.ijrte.org/wp-content/uploads/papers/v8i2/A1000058119.pdf
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/5937
dc.identifier.volume8
dc.language.isoen_USen_US
dc.publisherBlue Eyes Intelligence Engineering & Sciences Publicationen_US
dc.relation.ispartofInternational Journal of Recent Technology and Engineering (IJRTE)en_US
dc.subjectClinicopathological, Covariate-Dependent Prognostic Model, Decision Tree, Prognostic Cancer Modelen_US
dc.titleA Statistical Application On Determining The Prognostic Factors Of Oral Squamous Cell Carcinomas (oscc) In Malaysiaen_US
dc.typeArticleen_US
dspace.entity.typePublication

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