Abstract
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.
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CITATION STYLE
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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11717 LNAI, pp. 74–80). Springer. https://doi.org/10.1007/978-3-030-31605-1_6
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