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
- 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
- SIG:
- Publisher:
- CEUR Workshop Proceedings
- Note:
- Pages:
- 446–451
- Language:
- URL:
- https://preview.aclanthology.org/ingest-emnlp/2020.clicit-1.69/
- DOI:
- 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)
- PDF:
- https://preview.aclanthology.org/ingest-emnlp/2020.clicit-1.69.pdf