TY - GEN
T1 - Statistical truths in traditional Chinese medicine theories
AU - Zhang, Nevin L.
AU - Yuan, Shihong
PY - 2010
Y1 - 2010
N2 - Diagnosis and treatment in traditional Chinese medicine (TCM) are based on several theories, which originated from, in our conjecture, regularities that ancient Chinese doctors observed in their experiences with patients. In an effort to rediscover such regularities, we have analyzed a TCM data set using a recently developed machine learning method. The resulting statistical model matches relevant TCM theory well. This is a major discovery as it indicates that there are indeed 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.
AB - Diagnosis and treatment in traditional Chinese medicine (TCM) are based on several theories, which originated from, in our conjecture, regularities that ancient Chinese doctors observed in their experiences with patients. In an effort to rediscover such regularities, we have analyzed a TCM data set using a recently developed machine learning method. The resulting statistical model matches relevant TCM theory well. This is a major discovery as it indicates that there are indeed 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.
KW - Clinical experiences
KW - Statistical models
KW - Symptom survey data
KW - Theories of Chinese medicine
UR - https://openalex.org/W2146926578
UR - https://www.scopus.com/pages/publications/79952025780
U2 - 10.1109/BIBMW.2010.5703875
DO - 10.1109/BIBMW.2010.5703875
M3 - Conference Paper published in a book
SN - 9781424483044
T3 - 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2010
SP - 631
EP - 634
BT - 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2010
T2 - 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2010
Y2 - 18 December 2010 through 21 December 2010
ER -