Automatic classification of biomedical texts: experiments with a hearing loss corpus

摘要：

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.

作者: Fatima-Itzel Ronquillo Conception Perez de Celis Gerardo Sierra Iria da Cunha Juan-Manuel Torres-Moreno

作者单位: Facultad de Ciencias de la Computaci6n Universidad Autonoma de Puebla, Puebla, Mexico TGrupo de Ingenieria Lingiiistica Universidad Nacional Autonoma de Mexico, D.F., Mexico Institut Universitari de Lingiiistica Aplicada Universitat Pompeu Fabra, Barcelona, Espana Laboratoire Informatique dAvignon Universite dAvignon et des Pays de Vaucluse, Avignon, Francia

会议类型: 国际会议

会议名称: 2011 4th International Conference on Biomedical Engineering and Informatics(第四届生物医学工程与信息学国际会议 BMEI 2011)

会议地点: 上海

会议语种:英文

页码: 1686-1691

在线出版日期: 2011-10-15（万方平台首次上网日期，不代表论文的发表时间）