Hindawi Publishing Corporation
Evidence-plementary and Alternative Medicine
Volume 2012, Article ID 837245, 5 pages
doi:
Research Article
Intelligent ZHENG Classification of Hypertension Depending on
ML-kNN and Information Fusion
Guo-Zheng Li,1, 2 Shi-Xing Yan,1 Mingyu You,1 Sheng Sun,1 and Aihua Ou2
1 Department of Control Science and Engineering, Tongji University, Shanghai 201804, China
2 The Department of Clinical Epidemiology and The Cardiovascular Medicine of Chinese Medical,
Guang Dong Provincial Hospital of Traditional Chinese Medicine, Guangzhou 510120, China
Correspondence should be addressed to Mingyu You, ******@tongji. and Aihua Ou, ouaihua2@
Received 14 February 2012; Accepted 3 April 2012
Academic Editor: Shao Li
Copyright © 2012 Guo-Zheng Li et al. This is an open access article distributed under the mons Attribution License,
which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Hypertension is one of the major causes of heart cerebrovascular diseases. With a good accumulation of hypertension clinical data
on hand, research on hypertension’s ZHENG differentiation is an important and attractive topic, as Traditional Chinese Medicine
(TCM) lies primarily in “treatment based on ZHENG differentiation.” From the view of data mining, ZHENG differentiation
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