Title :
Statistical truths in traditional Chinese medicine theories
Author :
Zhang, Nevin L. ; Yuan, Shihong
Author_Institution :
Dept. of Comput. Sci. & Eng., Hong Kong Univ. of Sci. & Technol., Hong Kong, China
Abstract :
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.
Keywords :
bioinformatics; data analysis; learning (artificial intelligence); patient diagnosis; patient treatment; ancient Chinese doctors; data analysis; data set; machine learning method; patient diagnosis; patient treatment; statistical model; traditional chinese medicine theory; Theories of Chinese medicine; clinical experiences; statistical models; symptom survey data;
Conference_Titel :
Bioinformatics and Biomedicine Workshops (BIBMW), 2010 IEEE International Conference on
Conference_Location :
Hong, Kong
Print_ISBN :
978-1-4244-8303-7
Electronic_ISBN :
978-1-4244-8304-4
DOI :
10.1109/BIBMW.2010.5703875
