Hierarchical Latent Class Models and Statistical Foundation for Traditional Chinese Medicine

Authors:
Nevin L. Zhang;Shihong Yuan;Tao Chen;Yi Wang
Affiliations:
Hong Kong University of Science and Technology, Hong Kong, China;Beijing University of Traditional Chinese Medicine, Beijing, China;Hong Kong University of Science and Technology, Hong Kong, China;Hong Kong University of Science and Technology, Hong Kong, China
Venue:
AIME '07 Proceedings of the 11th conference on Artificial Intelligence in Medicine
Year:
2007

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Abstract

The theories of traditional Chinese medicine (TCM) originated from experiences doctors had with patients in ancient times. We ask the question whether aspects of TCM theories can be reconstructed through modern day data analysis. We have recently analyzed a TCM data set using a machine learning method and found that the resulting statistical model matches the relevant TCM theory well. This is an exciting discovery because it shows that, contrary to common perception, there are scientific truths in TCM theories. It also suggests the possibility of laying a statistical foundation for TCM through data analysis and thereby turning it into a modern science.