Title :
Rules of traditional physical therapies in treating hypertension through text mining
Author :
Hongmei Zhou ; Jinrui Guo ; Xiaoxia Ren ; Rongfen Dong ; Jinrong Zhang ; Zhaoli Cui ; Guang Zheng ; Na Ge ; Yong Tan ; Aiping Lu ; Miao Jiang ; Hongtao Guo ; Yahong Wang ; Yaoxian Wang
Author_Institution :
Tongzhou Center for Disease Control & Prevention, Beijing, 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.
Keywords :
blood; data mining; diseases; medical computing; patient treatment; text analysis; Chinese medicinal physical therapy; TCM practice; biomedical data; blood pressure control; data mining; disease; hypertension treatment; hypertensive patients; text mining; traditional Chinese medicine; traditional physical therapy; two-dimension data slicing algorithm; Blood; Diseases; Educational institutions; Hypertension; Medical treatment; Text mining; hypertension; physical therapy; text mining; traditional Chinese medicine;
Conference_Titel :
Bioinformatics and Biomedicine (BIBM), 2013 IEEE International Conference on
Conference_Location :
Shanghai
DOI :
10.1109/BIBM.2013.6732636