Automatic Hotspots Recognition and Trends Prediction in Traditional Medicine

摘要：

Exemplified by the field of traditional medicine in this paper, we classify articles extracted from SCIE (2004——2008) medical databases into categories from different perspectives and apply co-word analysis,multidimensional scaling methods to each category.Eventually, two maps are produced for each category,which are the current hotspots map and the trends map.Taking Drugs, Chinese, Herbal as an example, itscurrent hotspots map reveals three hot topics: plant extraction, antioxide and cancer cell in 2008. We also find topics concerning cancer in its 2006 trends map,which proved our method regarding high growth rate words as an indicator of the future trends is valid.

作者: Wei Lu Xiyan Qin Wu Chen Shuting Chen

作者单位: Center for studies of information resources,Wuhan University,430072,China Hubei Academy of Scientific & Technical Information,430072,China

会议类型: 国际会议

会议名称: 2008 IEEE International Symposium on IT in Medicine and Education(2008信息技术在医学和教育中的应用国际研讨会)(ITME 2008)

会议地点: 厦门

会议语种:英文

页码: 753-756

在线出版日期: 2008-12-12（万方平台首次上网日期，不代表论文的发表时间）