Biomedical Hot Points Discovering With Data Mining Approach

被引：1
|
作者：
Xu, Dan [1 ]
Zhu, Fei [1 ]
机构：
[1] Soochow Univ, Sch Comp Sci & Technol, Suzhou 215006, Peoples R China
来源：
2012 INTERNATIONAL SYMPOSIUM ON INFORMATION SCIENCE AND ENGINEERING (ISISE) | 2012年
关键词：
PubMed; Biomedicine; Keyword; E-utilities; Trend;
D O I：
10.1109/ISISE.2012.70
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
PubMed can retrieval biomedical literatures and get the number of publications. It can't help us analyze the trends and the relationships among the data we got. Our research is finding out keywords from 2007 to 2011 in biomedicine and then analyzing them. Here we list 33 keywords and get their numbers. Then we used trendlines in Excel to observe the trends of the keywords so that we can divide all of them into five types, which can stand for the whole fields in a way and help researchers study well.
引用
收藏
页码：279 / 281
页数：3
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