Document Type

Article (Restricted)

Publication Date

7-1-2010

Abstract

The incidence of oral cancer is high in Malaysia especially for those of Indian ethnic origin. In this research, an oral cancer prognosis prediction model will be developed by using Bootstrap-ANFIS techniques. The aim of this research is to improve the prediction of oral cancer survival and to identify the key clinical and genomic markers for the survival prediction of oral cancer. The proposed model is designed to handle small medical dataset with limitations in terms of time, cost and tissue samples.

Keywords

Cancer Computer Bootstrapping Fuzzy Reasoning Medical Computing Malaysia Adaptive Network Based Fuzzy Inference System Bootstrap-Anfis Technique Clinical Markers Genomic Markers Medical Dataset Oral Cancer Prognosis Oral Cancer Survival Prediction

Divisions

OralPathologyOralMedicinePeriodontology

Publication Title

Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on

Volume

6

Event Title

Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on

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