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BioMed Research International
Volume 2013, Article ID 359634, 7 pages
http://dx.doi.org/10.1155/2013/359634
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 [8 citations]

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
  • Pinar Yildirim, “Association patterns in open data to explore ciprofloxacin adverse events,” Applied Clinical Informatics, vol. 6, no. 4, pp. 728–747, 2015. View at Publisher · View at Google Scholar
  • Fu Ou-Yang, Yu-Da Lin, Li-Yeh Chuang, Hsueh-Wei Chang, Cheng-Hong Yang, and Ming-Feng Hou, “ The Combinational Polymorphisms of ORAI1 Gene Are Associated with Preventive Models of Breast Cancer in the Taiwanese ,” BioMed Research International, vol. 2015, pp. 1–7, 2015. View at Publisher · View at Google Scholar
  • Cheng-Hong Yang, Li-Yeh Chuang, Sin-Hua Moi, and Yu-Da Lin, “A comparative analysis of chaotic particle swarm optimizations for detecting single nucleotide polymorphism barcodes,” Artificial Intelligence in Medicine, vol. 73, pp. 23–33, 2016. View at Publisher · View at Google Scholar
  • Xueling Wu, F. Benjamin Zhan, Kaixiang Zhang, and Qinglu Deng, “Application of a two-step cluster analysis and the Apriori algorithm to classify the deformation states of two typical colluvial landslides in the Three Gorges, China,” Environmental Earth Sciences, vol. 75, no. 2, 2016. View at Publisher · View at Google Scholar
  • Alejandro Sánchez Medina, Alberto Gil Pichardo, Jose Manuel García-Heredia, and María Martínez-Ballesteros, “Discovery of genes implied in cancer by genetic algorithms and association rules,” Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9648, pp. 694–705, 2016. View at Publisher · View at Google Scholar
  • Neha Sharma, and Hari Om, “Hybrid framework using data mining techniques for early detection and prevention of oral cancer,” International Journal of Advanced Intelligence Paradigms, vol. 9, no. 5-6, pp. 604–622, 2017. View at Publisher · View at Google Scholar
  • Wei Chen, Jun Yang, Hui-Ling Wang, Ya-Fei Shi, Hao Tang, and Guo-Hui Li, “Discovering Associations of Adverse Events with Pharmacotherapy in Patients with Non-Small Cell Lung Cancer Using Modified Apriori Algorithm,” BioMed Research International, vol. 2018, pp. 1–10, 2018. View at Publisher · View at Google Scholar