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2013 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2013)
Shanghai, China
Dec. 18, 2013 to Dec. 21, 2013
ISBN: 978-1-4799-1309-1
pp: 48-51
Yong Tan , Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China
Hongmei Zhou , Tongzhou Center for Disease Control and Prevention, Beijing, China
Xiaoxia Ren , Tongzhou Center for Disease Control and Prevention, Beijing, China
Rongfen Dong , Tongzhou Center for Disease Control and Prevention, Beijing, China
Jinrong Zhang , Tongzhou Center for Disease Control and Prevention, Beijing, China
Zhaoli Cui , Tongzhou Center for Disease Control and Prevention, Beijing, China
Na Ge , Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China
Jinrui Guo , Tongzhou Center for Disease Control and Prevention, Beijing, China
Aiping Lu , Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China
Miao Jiang , Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China
Yahong Wang , Dongzhimen Hospital, Affiliated to Beijing University of Chinese Medicine, Beijing, China
Yaoxian Wang , Dongzhimen Hospital, Affiliated to Beijing University of Chinese Medicine, Beijing, China
Guang Zheng , School of Information Science & Engineering, Lanzhou University, Lanzhou, China
Hongtao Guo , The first Affilliated Hospital of Henan University of TCM, Henan, China
ABSTRACT
It is a still a world-wide challenge that hypertensive patients maintain a satisfactory blood pressure control. In TCM practice, traditional physical therapy has shown beneficial to blood pressure (BP) controlling. As the amount of bio medical data in leading databases (i.e. SinoMed, etc.) is growing at an exponential rate, it might be possible to get something meaningful through the techniques developed in data mining. In this paper, focused on hypertension, we proposed an algorithm named two dimensions data slicing to mine rules of Chinese medicinal physical therapies (massage, cupping and so on). The process of mining was done in two dimensions. The one-dimension analyzes the frequencies. The two-dimension analyzes the frequencies of co-existed keyword pairs. By examining the results of these two dimensions, although some noises existed, most regular knowledge of this disease is mined out. This algorithm might be useful in mining rules in the literature of traditional Chinese medicine.
INDEX TERMS
Hypertension, Medical treatment, Text mining, Diseases, Blood, Educational institutions
CITATION

H. Zhou et al., "Rules of traditional physical therapies in treating hypertension through text mining," 2013 IEEE International Conference on Bioinformatics and Biomedicine(BIBM), Shanghai, China China, 2013, pp. 48-51.
doi:10.1109/BIBM.2013.6732636
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