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International Workshop on Artificial Intelligence in Health

AIH 2018: Artificial Intelligence in Health pp 5–12Cite as

MeSHx-Notes: Web-System for Clinical Notes

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11326))

Abstract

We present MeSHx-Notes, MeSH eXtended for clinical notes, a multi-language web system based on the Django framework to present selected terms in clinical notes. MeSHx-Notes extends Medical Subject Headings (MeSH) terms with Word Embeddings with similar words. Since MeSH is available in 15 languages, MeSHx-Notes is easily extendable by replacing the MeSH thesaurus with the target language (plus the generation of the corresponding WE for the new language). Our version deals with Portuguese and English.

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Notes

  1. 1.

    https://www.ncbi.nlm.nih.gov/mesh.

  2. 2.

    https://github.com/nlp-pucrs/meshx-notes.

  3. 3.

    http://grupopln.inf.pucrs.br/meshx.

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Acknowledgments

This work was partially supported by CAPES (Coordenação de Aperfeiçoamento de Pessoal de Nível Superior) Foundation (Brazil), PUCRS (Pontifical Catholic University of Rio Grande do Sul), and UFRGS (Federal University of Rio Grande do Sul).

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Authors and Affiliations

  1. School of Technology at Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Brazil

    Rafael O. Nunes, João E. Soares, Henrique D. P. dos Santos & Renata Vieira

Authors
  1. Rafael O. Nunes
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  2. João E. Soares
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  3. Henrique D. P. dos Santos
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  4. Renata Vieira
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Corresponding author

Correspondence to Henrique D. P. dos Santos .

Editor information

Editors and Affiliations

  1. University of Melbourne, Melbourne, VIC, Australia

    Fernando Koch

  2. IIIA-CSIC and Autonomous University of Barcelona, Barcelona, Spain

    Andrew Koster

  3. Universitat Rovira i Virgili, Tarragona, Spain

    David Riaño

  4. Università di Bologna, Cesena, Italy

    Sara Montagna

  5. HES-SO Valais Wallis, Sierre, Switzerland

    Michael Schumacher

  6. VU University Amsterdam, Amsterdam, The Netherlands

    Annette ten Teije

  7. Karolinska Institute, Stockholm, Sweden

    Christian Guttmann

  8. University of Ulm, Ulm, Germany

    Manfred Reichert

  9. State University of New York, Oswego, NY, USA

    Isabelle Bichindaritz

  10. Imperial College London, London, UK

    Pau Herrero

  11. University of Erlangen and Nuremberg, Erlangen, Germany

    Richard Lenz

  12. University of Girona, Girona, Spain

    Beatriz López

  13. Ohio University, Athens, OH, USA

    Cindy Marling

  14. Oxford Brookes University, Oxford, UK

    Clare Martin

  15. Università del Piemonte Orientale, Alessandria, Italy

    Stefania Montani

  16. School of Computing Science and Digital Media, Robert Gordon University, Aberdeen, UK

    Nirmalie Wiratunga

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Nunes, R.O., Soares, J.E., dos Santos, H.D.P., Vieira, R. (2019). MeSHx-Notes: Web-System for Clinical Notes. In: Koch, F., et al. Artificial Intelligence in Health. AIH 2018. Lecture Notes in Computer Science(), vol 11326. Springer, Cham. https://doi.org/10.1007/978-3-030-12738-1_1

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  • DOI: https://doi.org/10.1007/978-3-030-12738-1_1

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-12737-4

  • Online ISBN: 978-3-030-12738-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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