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Automatic Detection of Negated Findings with NooJ: First Results

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Book cover Natural Language Processing and Information Systems (NLDB 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10859))

Abstract

The objective of this study is to develop a methodology for the automatic detection of negated findings in radiological reports which takes into account semantic and syntactic descriptions, as well as morphological and syntactic analysis rules. In order to achieve this goal, a series of rules for processing lexical and syntactic information was elaborated. This required development of an electronic dictionary of medical terminology and computerized grammar. Computational framework was carried out with NooJ, a free software developed by Silberztein, which has various utilities for treating natural language. Results show that the detection of negated findings improves if lexical-grammatical information is added.

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References

  1. Chapman, W., Bridewell, W., Hanbury, P., Cooper, G.F., Buchanan, B.: A simple algorithm for identifying negated findings and diseases in discharge summaries. J. Biomed. Inf. 34(5), 301–310 (2001)

    Article  Google Scholar 

  2. https://mlds.ihtsdotools.org/

  3. RANM: Diccionario de términos médicos. Editorial Médica Panamericana, Buenos Aires (2012)

    Google Scholar 

  4. RAE: Diccionario de la lengua Española. Santillana, Bogotá (2014)

    Google Scholar 

  5. Gross, M.: Méthodes en syntaxe. Hermann, París (1975)

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  6. Silberztein, M.: Formalizing Natural Languages: The NooJ approach. ISTE, Londres (2016)

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Authors and Affiliations

  1. Proyecto FONDECyT 1171033, Pontificia Universidad Católica de Valparaíso, Avenue El Bosque 1290, 2530388, Viña del Mar, Chile

    Walter Koza, Mirian Muñoz, Natalia Rivas & Ninoska Godoy

  2. Hospital Pediátrico Garrahan, Combate de los Pozos 1881, C1245AAM, Buenos Aires, Argentina

    Darío Filippo

  3. Departamento de Computación, FCEN, Pabellón I, Ciudad Universitaria, C1428EGA, Buenos Aires, Argentina

    Viviana Cotik & Vanesa Stricker

  4. Universidad Diego Portales, Vergara 210, 8370067, Santiago, Chile

    Ricardo Martínez

Authors
  1. Walter Koza
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  2. Mirian Muñoz
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  3. Natalia Rivas
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  4. Ninoska Godoy
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  5. Darío Filippo
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  6. Viviana Cotik
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  7. Vanesa Stricker
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  8. Ricardo Martínez
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Corresponding author

Correspondence to Walter Koza .

Editor information

Editors and Affiliations

  1. Université de Franche-Comté, Besançon, France

    Max Silberztein

  2. Conservatoire National des Arts et Métiers, Paris, France

    Faten Atigui

  3. Conservatoire National des Arts et Métiers, Paris, France

    Elena Kornyshova

  4. Conservatoire National des Arts et Métiers, Paris, France

    Elisabeth Métais

  5. University of Salford, Manchester, United Kingdom

    Farid Meziane

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Koza, W. et al. (2018). Automatic Detection of Negated Findings with NooJ: First Results. In: Silberztein, M., Atigui, F., Kornyshova, E., Métais, E., Meziane, F. (eds) Natural Language Processing and Information Systems. NLDB 2018. Lecture Notes in Computer Science(), vol 10859. Springer, Cham. https://doi.org/10.1007/978-3-319-91947-8_30

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  • DOI: https://doi.org/10.1007/978-3-319-91947-8_30

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-91946-1

  • Online ISBN: 978-3-319-91947-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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