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Rules of traditional physical therapies in treating hypertension through text mining

机译:传统文本疗法通过文本挖掘治疗高血压的规则

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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.
机译:高血压患者保持令人满意的血压控制仍然是世界范围的挑战。在中医实践中,传统的物理疗法已显示出对控制血压(BP)有益。随着领先数据库(即SinoMed等)中生物医学数据的数量呈指数增长,通过数据挖掘中开发的技术可能有可能获得有意义的信息。在本文中,针对高血压,我们提出了一种名为二维数据切片的算法,以挖掘中药物理疗法(按摩,拔罐等)的规则。采矿过程在两个方面进行。一维分析频率。二维分析共存关键字对的频率。通过检查这两个维度的结果,尽管存在一些噪音,但仍会挖掘出对该疾病的大多数常规知识。该算法可能对中医文献中的挖掘规则很有用。

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