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