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

Natural Language Processing (857) Electronic Health Records (1257) Ontologies, Classifications, and Coding (304) Artificial Intelligence (1962) Registered Report (737)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/67837, first published .
Natural Language Processing and ICD-10 Coding for Detecting Bleeding Events in Discharge Summaries: Comparative Cross-Sectional Study

Natural Language Processing and ICD-10 Coding for Detecting Bleeding Events in Discharge Summaries: Comparative Cross-Sectional Study

Natural Language Processing and ICD-10 Coding for Detecting Bleeding Events in Discharge Summaries: Comparative Cross-Sectional Study

Authors of this article:

Frederic Gaspar1, 2 Author Orcid Image ;   Mehdi Zayene3 Author Orcid Image ;   Claire Coumau1, 2, 4 Author Orcid Image ;   Elliott Bertrand3 Author Orcid Image ;   Marie Bettex5 Author Orcid Image ;   Marie Annick Le Pogam5 Author Orcid Image ;   Chantal Csajka2, 4 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Altmetric

Altmetric discovers Social Media mentions. Click the ‘See more details’ link for a full report.

Dimensions

Dimensions discovers Citations. Click the ‘details’ link for a full report.

Metrics Since Publication

Download .csv
Daily | Monthly | Annually