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The Application of Data Mining Techniques to Oral Cancer Prognosis

  • Transactional Processing Systems
  • Published:
Journal of Medical Systems Aims and scope Submit manuscript

Abstract

This study adopted an integrated procedure that combines the clustering and classification features of data mining technology to determine the differences between the symptoms shown in past cases where patients died from or survived oral cancer. Two data mining tools, namely decision tree and artificial neural network, were used to analyze the historical cases of oral cancer, and their performance was compared with that of logistic regression, the popular statistical analysis tool. Both decision tree and artificial neural network models showed superiority to the traditional statistical model. However, as to clinician, the trees created by the decision tree models are relatively easier to interpret compared to that of the artificial neural network models. Cluster analysis also discovers that those stage 4 patients whose also possess the following four characteristics are having an extremely low survival rate: pN is N2b, level of RLNM is level I-III, AJCC-T is T4, and cells mutate situation (G) is moderate.

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Author information

Authors and Affiliations

  1. Department of Oral Maxillofacial Surgery, Chi-Mei Medical Center, No.201, Taikang, Taikang Vil., Liuying Dist., Tainan City, Taiwan Republic of China

    Wan-Ting Tseng, Wei-Fan Chiang & Shyun-Yeu Liu

  2. Department of Information Management, National Chung Cheng University, No.168, Sec. 1, University Rd., Min-Hsiung Township, Chia-yi County, Taiwan Republic of China

    Jinsheng Roan

  3. Department of Logistics Management, Shu-Te University, No.59, Hengshan Rd., Yanchao Dist., Kaohsiung City, Taiwan Republic of China

    Chun-Nan Lin

Authors
  1. Wan-Ting Tseng
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  2. Wei-Fan Chiang
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  3. Shyun-Yeu Liu
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  4. Jinsheng Roan
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  5. Chun-Nan Lin
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Corresponding author

Correspondence to Chun-Nan Lin.

Additional information

This article is part of the Topical Collection on Transactional Processing Systems.

Wei-Fan Chiang holds a Ph.D., Chi-Mei Medical Center.

Shyun-Yeu Liu holds a Ph.D., Chi-Mei Medical Center.

Jinshegn Roan holds a Ph.D., National Chung Cheng University.

Chun-Nan Lin holds a Ph.D., Shu-Te University.

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Tseng, WT., Chiang, WF., Liu, SY. et al. The Application of Data Mining Techniques to Oral Cancer Prognosis. J Med Syst 39, 59 (2015). https://doi.org/10.1007/s10916-015-0241-3

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  • DOI: https://doi.org/10.1007/s10916-015-0241-3

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