Observatorio de I+D+i UPM

Memorias de investigación
Capítulo de libro:
An Approach to Detect Negation on Medical Documents in Spanish
Año:2014
Áreas de investigación
  • Interfases mediante lenguaje natural
Datos
Descripción
The adoption of hospital EHR technology is significantly growing and expected to grow. Digitalized information is the basis for health analytics. In particular, patient medical records contain valuable clinical information written in narrative form that can only be extracted after it has been previously preprocessed with Natural Language Processing techniques. An important challenge in clinical narrative text is that concepts commonly appear negated. Though worldwide there are nearly 500 million Spanish speakers, there seems to be no algorithm for negation detection in medical texts written in that language. Thus this paper presents an approach to adapt the NegEx algorithm to be applied to detect negation regarding clinical conditions in Spanish written medical documents. Our algorithm has been trained with 500 texts where 422 different sentences and 267 unique clinical conditions were identified. It has been tested for negated terms showing an accuracy obtained is of 83,37%. As in the detection of definite affirmed conditions, the results show an accuracy of 84,78%.
Internacional
Si
DOI
10.1007/978-3-319-09891-3_34
Edición del Libro
1
Editorial del Libro
Springer Link
ISBN
978-3-319-09890-6
Serie
Lecture Notes in Computer Science
Título del Libro
Brain Informatics and Health
Desde página
366
Hasta página
375
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Roberto Costumero Moreno (UPM)
  • Autor: Federico López
  • Autor: Consuelo Gonzalo Martin (UPM)
  • Autor: Ernestina Menasalvas Ruiz (UPM)
  • Autor: Socorro Millán
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Minería de Datos y Simulación (MIDAS)
  • Departamento: Arquitectura y Tecnología de Sistemas Informáticos
  • Departamento: Lenguajes y Sistemas Informáticos e Ingeniería de Software
S2i 2021 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
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