DocumentCode
2396676
Title
Using abstracts to classify life medicine papers
Author
Yoshida, Takaya ; Ohwada, Hayato
Author_Institution
Dept. of Ind. Adm., Tokyo Univ. of Sci., Tokyo, Japan
fYear
2012
fDate
19-20 May 2012
Firstpage
2272
Lastpage
2275
Abstract
In this paper, we proposed the technique of judging from the abstract whether life medical literature relates to the protein interaction. More specifically,we identified the technical terms by a rule base, and created the feature vector. Then we applied the technique to the data set of BioCreative, and obtained the result which exceeds the existing technique in recall as a result.
Keywords
abstracting; medical information systems; pattern classification; proteins; research and development; BioCreative; abstracts; feature vector; life medicine papers classification; medical literature; protein interaction; rule base; Abstracts; Bioinformatics; Databases; Proteins; Support vector machines; Training; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems and Informatics (ICSAI), 2012 International Conference on
Conference_Location
Yantai
Print_ISBN
978-1-4673-0198-5
Type
conf
DOI
10.1109/ICSAI.2012.6223506
Filename
6223506
Link To Document