| 数据挖掘技术在藏药方剂配伍规律研究中的应用思考 |
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| 引用本文： | 才让南加,仁增多杰,多杰才让,洛桑东智,李先加.数据挖掘技术在藏药方剂配伍规律研究中的应用思考[J].中国中药杂志,2012,37(16):2366-2367. |
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| 作者姓名： | 才让南加 仁增多杰 多杰才让 洛桑东智 李先加 |
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| 作者单位： | 1. 青海大学医学院,青海西宁,810001
2. 青海省藏医院,青海西宁,810007 |
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| 基金项目： | 青海大学中青年科研基金项目(2011-QYY-8) |
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| 摘 要： | 藏药方剂配伍规律研究是藏医药开拓创新中非常重要的内容。为探讨藏药方剂配伍规律,找出行之有效的研究方法,作者借鉴中药方剂配伍规律和相关领域的研究方法,结合藏医药学自身的特点,首次提出通过数据挖掘技术研究藏药方剂配伍规律的研究思路与方法,认为数据挖掘技术能帮助研究者在不背离藏医药自身理论框架的前提下发现藏药方剂的配伍规律和思路。
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| 关 键 词： | 藏药方剂 配伍规律 数据挖掘 |
| 收稿时间： | 2012/2/22 0:00:00 |
Exploring application of data mining technology in researching composition rules of Tibetan medical formulas |
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| CAIRANG Nanji,RENZENG Duojie,DUOJIE Cairang,LUOSANG Dongzhi and LI Xianjia.Exploring application of data mining technology in researching composition rules of Tibetan medical formulas[J].China Journal of Chinese Materia Medica,2012,37(16):2366-2367. |
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| Authors: | CAIRANG Nanji RENZENG Duojie DUOJIE Cairang LUOSANG Dongzhi and LI Xianjia |
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| Institution: | Medical College, Qinghai University, Xining 810001, China;Medical College, Qinghai University, Xining 810001, China;Qinghai Tibetan Medicine Hospital, Xining 810007, China;Medical College, Qinghai University, Xining 810001, China;Medical College, Qinghai University, Xining 810001, China |
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| Abstract: | There are thousands of medicinal formulas in the ancient Tibetan medical texts. Researching the composition rules of Tibetan medical formulas is a very important step in the study and practice of Tibetan medicine. In order to explore the composition rules of Tibetan medical formulas this article draws on the research methods utilized in related fields of traditional Chinese medicine adapted to the unique characteristics of Tibetan medicine. This is the first time the utilization of data mining methods has been proposed for the research of Tibetan medical formulas. It is believed that data mining techniques can aid researchers in discovering the composition rules of Tibetan medical formulas in accordance with Tibetan medical theory. |
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| Keywords: | Tibetan medical formulas composition rules data mining |
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