Performance of a NLP Tool for Text Classification from Orthopaedic Operative Reports, Using Data from the Large Network of Clinical Data Warehouses of the West of France: The HACRO-HUGORTHO Project

Marie Ansoborlo, Jeremy Cardoso, Julien Herbert, Christine Salpetrier, Guillaume Bouzille, Marc Cuggia, Philippe Rosset, Louis-Romée Le Nail, Leslie Grammatico-Guillon

Open source

DOI
10.3233/shti240822
Published
2024-08-22
Container
Studies in Health Technology and Informatics
Publisher
IOS Press
Open access
unknown

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BibTeX

@article{allodium:10.3233/shti240822,
  title = {Performance of a NLP Tool for Text Classification from Orthopaedic Operative Reports, Using Data from the Large Network of Clinical Data Warehouses of the West of France: The HACRO-HUGORTHO Project},
  author = {Marie Ansoborlo and Jeremy Cardoso and Julien Herbert and Christine Salpetrier and Guillaume Bouzille and Marc Cuggia and Philippe Rosset and Louis-Romée Le Nail and Leslie Grammatico-Guillon},
  year = {2024},
  journal = {Studies in Health Technology and Informatics},
  doi = {10.3233/shti240822},
  url = {https://doi.org/10.3233/shti240822}
}

RIS

TY  - JOUR
TI  - Performance of a NLP Tool for Text Classification from Orthopaedic Operative Reports, Using Data from the Large Network of Clinical Data Warehouses of the West of France: The HACRO-HUGORTHO Project
AU  - Marie Ansoborlo
AU  - Jeremy Cardoso
AU  - Julien Herbert
AU  - Christine Salpetrier
AU  - Guillaume Bouzille
AU  - Marc Cuggia
AU  - Philippe Rosset
AU  - Louis-Romée Le Nail
AU  - Leslie Grammatico-Guillon
PY  - 2024
JO  - Studies in Health Technology and Informatics
DO  - 10.3233/shti240822
UR  - https://doi.org/10.3233/shti240822
ER  - 

APA

Ansoborlo, M., Cardoso, J., Herbert, J., Salpetrier, C., Bouzille, G., Cuggia, M., Rosset, P., Nail, L. L., & Grammatico-Guillon, L. (2024). Performance of a NLP Tool for Text Classification from Orthopaedic Operative Reports, Using Data from the Large Network of Clinical Data Warehouses of the West of France: The HACRO-HUGORTHO Project. Studies in Health Technology and Informatics. https://doi.org/10.3233/shti240822

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