Title :
Biomedical Hot Points Discovering with Data Mining Approach
Author :
Dan Xu ; Fei Zhu
Author_Institution :
Sch. of Comput. Sci. & Technol., Soochow Univ., Suzhou, China
Abstract :
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.
Keywords :
data mining; information retrieval; medical information systems; Excel trendlines; PubMed; biomedical hot points; biomedical literature retrieval; biomedicine; data mining; keyword; Biomedicine; E-utilities; Keyword; PubMed; Trend;
Conference_Titel :
Information Science and Engineering (ISISE), 2012 International Symposium on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4673-5680-0
DOI :
10.1109/ISISE.2012.70
