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BioMed Research International
Volume 2016 (2016), Article ID 8567479, 10 pages
http://dx.doi.org/10.1155/2016/8567479
Research Article

Prediction of Early Recurrence of Liver Cancer by a Novel Discrete Bayes Decision Rule for Personalized Medicine

1Department of Biomolecular Engineering, Graduate School of Medicine, Yamaguchi University, Tokiwadai 2-16-1, Ube, Yamaguchi 755-8611, Japan
2Department of Kampo Medicine, Graduate School of Biomedical & Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima 734-8551, Japan
3Division of Electrical, Electronic and Information Engineering, Graduate School of Sciences and Technology for Innovation, Yamaguchi University, Tokiwadai 2-16-1, Ube, Yamaguchi 755-8611, Japan

Received 23 May 2016; Revised 10 August 2016; Accepted 8 September 2016

Academic Editor: Alexander Kaplun

Copyright © 2016 Hiroyuki Ogihara et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Hiroyuki Ogihara, Norio Iizuka, and Yoshihiko Hamamoto, “Prediction of Early Recurrence of Liver Cancer by a Novel Discrete Bayes Decision Rule for Personalized Medicine,” BioMed Research International, vol. 2016, Article ID 8567479, 10 pages, 2016. doi:10.1155/2016/8567479