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

Natural Language Processing (1008) Electronic Health Records (1445) Ontologies, Classifications, and Coding (364) Artificial Intelligence (2506) Generative Language Models Including ChatGPT (917) AI Language Models in Health Care (308)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/86533, first published .
Doctor and patient looking at hospital website on laptop, discussing healthcare options.

Automated ICD-10–Anchored Classification of Primary Care Text Data: Development and Evaluation of a Custom Multilabel Classifier

Automated ICD-10–Anchored Classification of Primary Care Text Data: Development and Evaluation of a Custom Multilabel Classifier

Authors of this article:

Christina Haag1, 2 Author Orcid Image ;   Thomas Grischott3 Author Orcid Image ;   Jakob M Burgstaller3 Author Orcid Image ;   Stefan Markun3 Author Orcid Image ;   Oliver Senn3 Author Orcid Image ;   Viktor von Wyl1, 2 Author Orcid Image
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  1. Haag C, Grischott T, Burgstaller J, Markun S, Senn O, von Wyl V. Correction: Automated ICD-10–Anchored Classification of Primary Care Text Data: Development and Evaluation of a Custom Multilabel Classifier. JMIR Medical Informatics 2026;14:e99873 View