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TCM Constitution Analysis Method Based on Parallel FP-Growth Algorithm in Hadoop Framework.

Mingzheng Li1,2, Xiaojuan Lv3, Ye Liu1

  • 1School of Information Engineering, Henan University of Science and Technology, Luoyang 471003, China.

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|September 9, 2022
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Summary
This summary is machine-generated.

This study introduces an association rules method for Traditional Chinese Medicine (TCM) constitution analysis, improving efficiency for large datasets. The model accurately classifies TCM constitutions based on symptoms and treatments, aiding clinical diagnosis.

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Area of Science:

  • Integrative Medicine
  • Computational Biology
  • Data Science

Background:

  • Traditional Chinese Medicine (TCM) constitution analysis is crucial for personalized healthcare.
  • Traditional data mining methods struggle with massive, distributed medical data, leading to inefficiencies.
  • Accurate classification models are needed for TCM constitution analysis to support clinical decisions.

Purpose of the Study:

  • To develop an efficient association rules method for Traditional Chinese Medicine (TCM) constitution analysis.
  • To improve the classification accuracy of TCM constitutions using symptoms and regimen data.
  • To provide decision support for clinical diagnosis in TCM.

Main Methods:

  • Proposed an association rules method for TCM constitution analysis (ARA-TCM) utilizing the FP-growth algorithm.
  • Leveraged the Hadoop framework (HDFS) for parallel processing of massive distributed medical data.
  • Explored association rules between TCM constitutions, symptoms, and regimen treatment plans.

Main Results:

  • Identified top TCM constitutions: mid (42.3%), hot and humid (31.3%), and inherited special (26.2%) from 30,071 clinical records.
  • Demonstrated significant improvements in precision and recall rates compared to the Apriori algorithm.
  • Established suitability of the ARA-TCM method for TCM constitution classification.

Conclusions:

  • The ARA-TCM method offers an efficient and accurate approach for TCM constitution analysis.
  • The findings support evidence-based evaluation of TCM effects in chronic disease management.
  • Future studies should incorporate tongue images and pulse signals for more comprehensive TCM constitution analysis.