Suppr超能文献

模式识别的当前研究与未来方向:一场国际研讨会的成果

Current research and future directions in pattern identification: Results of an international symposium.

作者信息

Lee Myeong Soo, Lee Ju Ah, Alraek Terje, Bian Zhao-Xiang, Birch Stephen, Goto Hirozo, Jung Jeeyoun, Kao Shung-Te, Moon Sang-Kwan, Park Bongki, Park Kyung-Mo, You Sooseong, Yun Kyung-Jin, Zaslawski Chris

机构信息

Korea Institute of Oriental Medicine, Daejeon, 305-811, Republic of Korea.

National Research Center in Complementary and Alternative Medicine, UiT The Artic University of Norway, Troms, 9037, Norway.

出版信息

Chin J Integr Med. 2016 Dec;22(12):947-955. doi: 10.1007/s11655-014-1833-3. Epub 2014 Jun 18.

Abstract

A symposium on pattern identification (PI) was held at the Korea Institute of Oriental Medicine (KIOM) on October 2, 2013, in Daejeon, South Korea. This symposium was convened to provide information on the current research in PI as well as suggest future research directions. The participants discussed the nature of PI, possible research questions, strategies and future international collaborations in pattern research. With eight presentations and an extensive panel discussion, the symposium allowed participants to discuss research methods in traditional medicine for PI. One speaker presented the topic, 'Clinical pattern differentiation and contemporary research in PI.' Two speakers presented current trends in research on blood stasis while the remaining five other delegates discussed the research methods and future directions of PI research. The participants engaged in in-depth discussions regarding the nature of PI, potential research questions, strategies and future international collaborations in pattern research.

摘要

2013年10月2日,一场关于模式识别(PI)的研讨会在韩国大田的韩国韩医学研究院(KIOM)举行。召开此次研讨会是为了提供有关模式识别当前研究的信息,并提出未来的研究方向。与会者讨论了模式识别的本质、可能的研究问题、策略以及模式研究未来的国际合作。通过八场报告和广泛的小组讨论,该研讨会让与会者能够探讨传统医学中用于模式识别的研究方法。一位发言者介绍了“临床辨证与模式识别的当代研究”这一主题。两位发言者介绍了血瘀研究的当前趋势,其余五位代表讨论了模式识别研究的方法和未来方向。与会者就模式识别的本质、潜在研究问题、策略以及模式研究未来的国际合作进行了深入讨论。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验