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
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;
Conference_Titel :
Systems and Informatics (ICSAI), 2012 International Conference on
Conference_Location :
Yantai
Print_ISBN :
978-1-4673-0198-5
DOI :
10.1109/ICSAI.2012.6223506
