A Bootstrap-ANFIS framework for oral cancer prognosis based on clinical and genomic markers

Author

Chang Siow-Wee ; Sameem, A.K. ; Zain, Rosnah Mohd ; Merican, Amir Feisal Merican Aljunid

Author_Institution

Dept. of Artificial Intell., Univ. of Malaya, Kuala Lumpur, Malaysia

Volume

6

fYear

2010

fDate

9-11 July 2010

Firstpage

487

Lastpage

491

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; Bioinformatics; Genomics; Indexes; Metastasis; Salivary glands; bootstrap-ANFIS; clinical markers; genomic markers; oral caner prognosis;

fLanguage

English

Publisher

ieee

Conference_Titel

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

Conference_Location

Chengdu

Print_ISBN

978-1-4244-5537-9

Type

conf

DOI

10.1109/ICCSIT.2010.5564094

Filename

5564094