Biomedical text categorization using UMLS

被引：0

作者：

Perea Ortega, Jose Manuel ^{[1
]}

Martin Valdivia, Maria Teresa ^{[1
]}

Montejo Raez, Arturo ^{[1
]}

Diaz Galiano, Manuel Carlos ^{[1
]}

机构：

[1] Univ Jaen, Campus Las Lagunillas Edificio A3, E-23071 Jaen, Spain

来源：

PROCESAMIENTO DEL LENGUAJE NATURAL | 2008年 / 40期

关键词：

4Text categorization; Ontology; UMLS; Knowledge integration; Term expansion;

D O I：

暂无

中图分类号：

H0 [语言学];

学科分类号：

030303 ; 0501 ; 050102 ;

摘要：

In this paper we present an automatic system for multi-label text categorization which makes use of UMLS (Unified Medical Language System). Our approach has been tested on a biomedical corpus which includes very short texts belonging to expedients of children with respiratory disseases. The corpus has been enriched by using those ontologies integrated in UMLS and the results obtained show that the term expansion approach proposed greatly improves the traditional categorization system.

引用

页码：121 / 127

页数：7

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