A Deep Learning Model for the Analysis of Medical Reports in ICD-10 Clinical Coding Task

Marco Polignano; Pierpaolo Basile; Marco De Gemmis; Pasquale Lops; Giovanni Semeraro

A Deep Learning Model for the Analysis of Medical Reports in ICD-10 Clinical Coding Task

Marco Polignano, Pierpaolo Basile, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro

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Anthology ID:: 2020.clicit-1.69
Volume:: Proceedings of the Seventh Italian Conference on Computational Linguistics (CLiC-it 2020)
Month:: March
Year:: 2020
Address:: Bologna, Italy
Editors:: Johanna Monti, Felice Dell'Orletta, Fabio Tamburini
Venue:: CLiC-it
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Publisher:: CEUR Workshop Proceedings
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Pages:: 446–451
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URL:: https://aclanthology.org/2020.clicit-1.69/
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Cite (ACL):: Marco Polignano, Pierpaolo Basile, Marco de Gemmis, Pasquale Lops, and Giovanni Semeraro. 2020. A Deep Learning Model for the Analysis of Medical Reports in ICD-10 Clinical Coding Task. In Proceedings of the Seventh Italian Conference on Computational Linguistics (CLiC-it 2020), pages 446–451, Bologna, Italy. CEUR Workshop Proceedings.
Cite (Informal):: A Deep Learning Model for the Analysis of Medical Reports in ICD-10 Clinical Coding Task (Polignano et al., CLiC-it 2020)
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PDF:: https://aclanthology.org/2020.clicit-1.69.pdf

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@inproceedings{polignano-etal-2020-deep,
    title = "A Deep Learning Model for the Analysis of Medical Reports in {ICD}-10 Clinical Coding Task",
    author = "Polignano, Marco  and
      Basile, Pierpaolo  and
      de Gemmis, Marco  and
      Lops, Pasquale  and
      Semeraro, Giovanni",
    editor = "Monti, Johanna  and
      Dell'Orletta, Felice  and
      Tamburini, Fabio",
    booktitle = "Proceedings of the Seventh Italian Conference on Computational Linguistics (CLiC-it 2020)",
    month = mar,
    year = "2020",
    address = "Bologna, Italy",
    publisher = "CEUR Workshop Proceedings",
    url = "https://aclanthology.org/2020.clicit-1.69/",
    pages = "446--451",
    ISBN = "979-12-80136-28-2"
}

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%0 Conference Proceedings
%T A Deep Learning Model for the Analysis of Medical Reports in ICD-10 Clinical Coding Task
%A Polignano, Marco
%A Basile, Pierpaolo
%A de Gemmis, Marco
%A Lops, Pasquale
%A Semeraro, Giovanni
%Y Monti, Johanna
%Y Dell’Orletta, Felice
%Y Tamburini, Fabio
%S Proceedings of the Seventh Italian Conference on Computational Linguistics (CLiC-it 2020)
%D 2020
%8 March
%I CEUR Workshop Proceedings
%C Bologna, Italy
%@ 979-12-80136-28-2
%F polignano-etal-2020-deep
%U https://aclanthology.org/2020.clicit-1.69/
%P 446-451

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Markdown (Informal)

[A Deep Learning Model for the Analysis of Medical Reports in ICD-10 Clinical Coding Task](https://aclanthology.org/2020.clicit-1.69/) (Polignano et al., CLiC-it 2020)

A Deep Learning Model for the Analysis of Medical Reports in ICD-10 Clinical Coding Task (Polignano et al., CLiC-it 2020)

ACL

Marco Polignano, Pierpaolo Basile, Marco de Gemmis, Pasquale Lops, and Giovanni Semeraro. 2020. A Deep Learning Model for the Analysis of Medical Reports in ICD-10 Clinical Coding Task. In Proceedings of the Seventh Italian Conference on Computational Linguistics (CLiC-it 2020), pages 446–451, Bologna, Italy. CEUR Workshop Proceedings.