| 利用知识发现工具Arrowsmith探讨当归与痛经的相关性 |
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| 引用本文： | 李文林,;葛月兰,;宿树兰,;段金廒.利用知识发现工具Arrowsmith探讨当归与痛经的相关性[J].中华医学图书馆杂志,2008(4):7-11. |
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| 作者姓名： | 李文林 ;葛月兰 ;宿树兰 ;段金廒 |
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| 作者单位： | [1]南京中医药大学图书馆,江苏南京210046; [2]南京中医药大学、江苏省方剂研究重点实验室,江苏南京210046 |
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| 基金项目： | 江苏省高校自然基金重大基础研究资助项目（06KJA36022）. |
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| 摘 要： | 利用知识发现工具Arrowsmith，探讨当归与痛经的相关性，发现当归中部分有效成分对痛经有潜在的治疗作用，另一部分有效成分则不利于痛经的治疗，说明基于文献的知识发现形成的知识关联结果，不仅能为实验室试验或临床观察提供可证实或否定的数据，也能为研究者提供新的研究思路。
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| 关 键 词： | 当归 痛经 非相关文献知识发现 Arrowsmith |
Correlation between Angelica Sinensis and dysanenorrhea studied using knowledge - discovery tool Arrowsmith |
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| Institution: | LI Wen - lin, GE Yue - lan, SU- Shu - lan, DUAN - Jin - ao ( 1. Library of Nanjing University of Traditional Chinese Medicine, Nanjing 210046, Jiangsu Province, China; 2. Jiangsu Key Laboratory for Traditional Chinese Medicine, Nanjing University of Traditional Chinese Medicine, Nanjing 210046, Jiangsu Province, China) |
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| Abstract: | The correlation between Angelica Sinensis and dysmenorrhea was studied using the knowledge- discovery tool Arrowsmith. Some of the active components in Angelica Sinensis were found to have potent therapeutic effects on dysmenorrhea, while the other components were not beneficial to the treatment of dysmenorrhea, indicating that literature - based knowledge discovery not only provides positive or negative data for laboratory experiment or clinical observation but also broadens the thinking of scientists. |
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| Keywords: | Angelica Sinensis non - correlated literature knowledge discovery Arrowsmith |
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