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BioMed Research International
Volume 2016, Article ID 8567479, 10 pages
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.

Citations to this Article [2 citations]

The following is the list of published articles that have cited the current article.

  • Atsushi Goto, Jun Nishikawa, Eizaburou Hideura, Ryo Ogawa, Misato Nagao, Sho Sasaki, Ryo Kawasato, Shinichi Hashimoto, Takeshi Okamoto, Hiroyuki Ogihara, Yoshihiko Hamamoto, and Isao Sakaida, “Lymph node metastasis can be determined by just tumor depth and lymphovascular invasion in early gastric cancer patients after endoscopic submucosal dissection,” European Journal of Gastroenterology & Hepatology, vol. 29, no. 12, pp. 1346–1350, 2017. View at Publisher · View at Google Scholar
  • Da Xu, Jessica Qiuhua Sheng, Paul Jen-Hwa Hu, Ting Shuo Huang, and Wei-Chen Lee, “Predicting Hepatocellular Carcinoma Recurrences: A Data-Driven Multiclass Classification Method Incorporating Latent Variables,” Journal of Biomedical Informatics, pp. 103237, 2019. View at Publisher · View at Google Scholar