DocumentCode :
557502
Title :
Automatic classification of biomedical texts: Experiments with a hearing loss corpus
Author :
Ronquillo, Fátima-Itzel ; De Celis, Concepción Pérez ; Sierra, Gerardo ; Cunha, Iria Da ; Torres-Moreno, Juan-Manuel
Author_Institution :
Fac. de Cienc. de la Comput., Univ. Autonoma de Puebla, Puebla, Mexico
Volume :
3
fYear :
2011
fDate :
15-17 Oct. 2011
Firstpage :
1674
Lastpage :
1679
Abstract :
To obtain reliable information extraction applications has been one of the main goals of the biomedical text mining community. These applications are valuable tools to biologists in their increasingly difficult task of assimilating the knowledge contained in biomedical literature. This paper presents a novel algorithm for automatic classification of biomedical texts, specifically texts about symptoms. We apply our approach to biomedical texts related to hearing loss, obtaining promising results.
Keywords :
data mining; hearing; medical diagnostic computing; algorithm; automatic classification; biomedical text mining community; biomedical texts; hearing loss corpus; information extraction application; knowledge-discovery; Algorithm design and analysis; Auditory system; Biological system modeling; Classification algorithms; Decision trees; Genetics; Taxonomy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Engineering and Informatics (BMEI), 2011 4th International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-9351-7
Type :
conf
DOI :
10.1109/BMEI.2011.6098532
Filename :
6098532
Link To Document :
بازگشت