TY - GEN
T1 - Rules of traditional physical therapies in treating hypertension through text mining
AU - Zhou, Hongmei
AU - Guo, Jinrui
AU - Ren, Xiaoxia
AU - Dong, Rongfen
AU - Zhang, Jinrong
AU - Cui, Zhaoli
AU - Ge, Na
AU - Tan, Yong
AU - LYU, Aiping
AU - Jiang, Miao
AU - Wang, Yahong
AU - Wang, Yaoxian
AU - Zheng, Guang
AU - Guo, Hongtao
N1 - Copyright:
Copyright 2014 Elsevier B.V., All rights reserved.
PY - 2013
Y1 - 2013
N2 - 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.
AB - 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.
KW - hypertension
KW - physical therapy
KW - text mining
KW - traditional Chinese medicine
UR - http://www.scopus.com/inward/record.url?scp=84894569630&partnerID=8YFLogxK
U2 - 10.1109/BIBM.2013.6732636
DO - 10.1109/BIBM.2013.6732636
M3 - Conference proceeding
AN - SCOPUS:84894569630
SN - 9781479913091
T3 - Proceedings - 2013 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2013
SP - 48
EP - 51
BT - Proceedings - 2013 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2013
T2 - 2013 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2013
Y2 - 18 December 2013 through 21 December 2013
ER -