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Prognosis of Thyroid Disease Using MS-Apriori Improved Decision Tree

  • Yuwei Hao
  • Wanli Zuo
  • Zhenkun Shi
  • Lin Yue
  • Shuai Xue
  • Fengling He
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11061)

Abstract

The lymph nodes metastasis in the papillary thyroid microcarcinoma (PTMC) can lead to a recurrence of cancer. We hope to take preventive measures to reduce the recurrence rate of the thyroid cancer. This paper presents a decision tree improved by MS-Apriori for the prognosis of lymph node metastasis (LNM) in patients with PTMC, called MsaDtd (Decision tree Diagnosis based on MS-Apriori). The method converts the original feature space into a more abundant feature space, MS-Apriori is used to generate association rules that consider rare items by multiple supports and fuzzy logic is introduced to map attribute values to different subintervals. Then, we filter the ranked rules which consider positive and negative tuples. We improve accuracy through deleting disturbance rules. At last, we use the decision tree to predict LNM by analyzing the affiliation between the instance and rules. Clinical-pathological data were obtained from the First Hospital of Jilin University. The results show that the proposed MsaDtd achieves better prediction performance than other methods on the prognosis of LNM.

Keywords

MS-Apriori Decision tree Medical mining Disease predication 

Notes

Acknowledgement

Project supported by the Nature Science Foundation of Jilin Province (No. 20180101330JC), the National Nature Science Foundation of China (No. 60973040), the Fundamental Research Funds for the Central Universities (No. 2412017QD028), China Postdoctoral Science Foundation (No. 2017M621192), the Scientific and Technological Development Program of Jilin Province (No. 20180520022JH).

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.College of Computer Science and TechnologyJilin UniversityChangchunChina
  2. 2.Key Laboratory of Symbol Computation and Knowledge EngineeringJilin University, Ministry of EducationChangchunChina
  3. 3.School of Computer Science and Information TechnologyNortheast Normal UniversityChangchunChina
  4. 4.The First Hospital of Jilin UniversityChangchunChina

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