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

Natural Language Processing (893) Machine Learning (2034) Secondary Use of Clinical Data for Research and Surveillance (466) Immunology, Allergy, Rheumatology (136) Electronic Health Records (1295) Digital Biomarkers and Digital Phenotyping (272) Ontologies, Classifications, and Coding (318) Tools, Programs and Algorithms (369)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/68704, first published .
Improving Phenotyping of Patients With Immune-Mediated Inflammatory Diseases Through Automated Processing of Discharge Summaries: Multicenter Cohort Study

Improving Phenotyping of Patients With Immune-Mediated Inflammatory Diseases Through Automated Processing of Discharge Summaries: Multicenter Cohort Study

Improving Phenotyping of Patients With Immune-Mediated Inflammatory Diseases Through Automated Processing of Discharge Summaries: Multicenter Cohort Study

Authors of this article:

Adam Remaki1 Author Orcid Image ;   Jacques Ung2 Author Orcid Image ;   Pierre Pages2 Author Orcid Image ;   Perceval Wajsburt2 Author Orcid Image ;   Elise Liu3 Author Orcid Image ;   Guillaume Faure1 Author Orcid Image ;   Thomas Petit-Jean2 Author Orcid Image ;   Xavier Tannier1 Author Orcid Image ;   Christel Gérardin1, 4 Author Orcid Image
Article Authors Cited by (1) Tweetations (1) Metrics

Journals

  1. Julla J, Jolivet T, Estellat C, Varoquaux G, Carlier A, Gautier J, Alberge J, Abouleka Y, Bergès A, Liu E, Abecassis J, Tubach F, Potier L. Incidence of death and amputation in patients with a first diabetic foot ulcer: results from the CODIA cohort. Diabetes & Metabolism 2025;51(6):101700 View