This paper is in the following e-collection/theme issue:

Natural Language Processing (706) Electronic Health Records (1068) Ontologies, Classifications, and Coding (243) Machine Learning (1501)

Published on in Vol 10, No 4 (2022): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26353, first published .
Neural Translation and Automated Recognition of ICD-10 Medical Entities From Natural Language: Model Development and Performance Assessment

Neural Translation and Automated Recognition of ICD-10 Medical Entities From Natural Language: Model Development and Performance Assessment

Neural Translation and Automated Recognition of ICD-10 Medical Entities From Natural Language: Model Development and Performance Assessment

Authors of this article:

Louis Falissard1 Author Orcid Image ;   Claire Morgand1 Author Orcid Image ;   Walid Ghosn1 Author Orcid Image ;   Claire Imbaud1 Author Orcid Image ;   Karim Bounebache1 Author Orcid Image ;   Grégoire Rey1 Author Orcid Image
Article Authors Cited by (9) Tweetations (5) Metrics

Louis Falissard   1 , PhD ;   Claire Morgand   1 , MD, PhD ;   Walid Ghosn   1 , PhD ;   Claire Imbaud   1 , PhD ;   Karim Bounebache   1 , PhD ;   Grégoire Rey   1 , PhD

1 Centre for Epidemiology on Medical Causes of Death, Inserm, Le Kremlin Bicêtre, France

Corresponding Author:

  • Louis Falissard, PhD
  • Centre for Epidemiology on Medical Causes of Death
  • Inserm
  • 80 Rue du Général Leclerc
  • Le Kremlin Bicêtre, 94270
  • France
  • Phone: 33 679649178
  • Email: louis.falissard@gmail.com