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BioMed Research International
Volume 2013 (2013), Article ID 359634, 7 pages
Research Article

Identifying the Association Rules between Clinicopathologic Factors and Higher Survival Performance in Operation-Centric Oral Cancer Patients Using the Apriori Algorithm

1Department of Radiation Oncology, Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
2Department of Radiation Oncology, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
3Cancer Center, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
4Department of Chemical Engineering and Institute of Biotechnology and Chemical Engineering, I-Shou University, Kaohsiung, Taiwan
5Department of Medical Research, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
6Department of Electronic Engineering, National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan
7Department of Biomedical Science and Environmental Biology, Kaohsiung Medical University, Kaohsiung, Taiwan

Received 17 May 2013; Accepted 30 June 2013

Academic Editor: Tsair-Fwu Lee

Copyright © 2013 Jen-Yang Tang 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 [1 citation]

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

  • Neha Sharma, and Hari Om, “Significant patterns for oral cancer detection: association rule on clinical examination and history data,” Network Modeling Analysis in Health Informatics and Bioinformatics, vol. 3, no. 1, 2014. View at Publisher · View at Google Scholar