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Poster: Applying data mining algorithms to early detection of liver cancer

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2 Author(s)
Fabiola M. R. Pinheiro ; School of Health Information Science, University of Victoria, B.C., Canada ; Mu-Hsing Kuo

According to the World Health Organization, cancer is leading cause of deaths globally. Among all types cancer, liver cancer has the lowest survivability, with approximately 1 million deaths each year. Its rising incidence in the past decade is projected to continue is associated with varying demographic factors. Data mining can be of great utility in better understanding which risk factors are associated with increased incidence of liver cancer, as suggested by previous studies.

Published in:

Computational Advances in Bio and Medical Sciences (ICCABS), 2012 IEEE 2nd International Conference on

Date of Conference:

23-25 Feb. 2012