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Analysis of Pulse Diagnosis Data from a TCM Doctor and a Device by Random Forest

Part of the Lecture Notes in Computer Science book series (LNAI,volume 11717)


Pulse diagnosis is a typical diagnosis of Traditional Chinese Medicine (TCM). However, it is not clear if there is any relationship between the result of pulse diagnosis and other health related data. In this study, we investigate this and analyze pulse diagnosis data from a TCM doctor and a pulse diagnostic instrument (PDI) by Random Forest. Subjects’ vital signs and pulse diagnosis data from a TCM doctor are used as training data. We classify vital signs which have the PDI’s diagnoses labels. As a result, classification accuracies were over 60% in all cases. Our experiment results imply that better pulse diagnosis may be made with assistance of personal health data analysis.


  • Health data analysis
  • Pulse diagnosis
  • Random Forest

This work is partly supported by 2016–2018 Masaru Ibuka Foundation Research Project on Oriental Medicine.

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  • DOI: 10.1007/978-3-030-31605-1_6
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    37 degree bracelet, 37 Degree Technology,

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    DS01-C Information Collection System of Pulse Condition Diagnosis (Shanghai FDA Food and Drug Administration No. 20152270429), Daosh Medical Technology Co., Ltd.,


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Correspondence to Kiichi Tago .

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Tago, K., Ogihara, A., Nishimura, S., Jin, Q. (2019). Analysis of Pulse Diagnosis Data from a TCM Doctor and a Device by Random Forest. In: Kojima, K., Sakamoto, M., Mineshima, K., Satoh, K. (eds) New Frontiers in Artificial Intelligence. JSAI-isAI 2018. Lecture Notes in Computer Science(), vol 11717. Springer, Cham.

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