中医理论的统计学验证
Statistical validation of traditional chinese medicine theories.
作者信息
Zhang Nevin L, Yuan Shihong, Chen Tao, Wang Yi
机构信息
Department of Computer Science & Engineering, The Hong Kong University of Science & Technology, Kowloon, Hong Kong, China.
出版信息
J Altern Complement Med. 2008 Jun;14(5):583-7. doi: 10.1089/acm.2007.7019.
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 data analysis. To answer the question, we have developed a data analysis method called latent tree models and have used it to analyze several TCM data sets. This paper reports the results we obtained on one of the data sets and explains how they provide statistical validation to the relevant TCM theories.
中医理论起源于古代医生对患者的诊疗经验。我们提出一个问题，即中医理论的各个方面是否可以通过数据分析来重构。为了回答这个问题，我们开发了一种名为潜在树模型的数据分析方法，并将其用于分析多个中医数据集。本文报告了我们在其中一个数据集上获得的结果，并解释了这些结果如何为相关中医理论提供统计验证。
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