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

Information Retrieval (481) Clinical Information and Decision Making (3439) Natural Language Processing (1206) Adverse Drug Events Detection, Pharmacovigilance and Surveillance (256) Decision Support for Health Professionals (2071) Generative Language Models Including ChatGPT (1369) AI Language Models in Health Care (653)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/86183, first published .
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Extracting and Classifying Drug Discontinuations From Estonian Electronic Health Records: Development and Validation Study

Extracting and Classifying Drug Discontinuations From Estonian Electronic Health Records: Development and Validation Study

Authors of this article:

Hendrik Šuvalov1 Author Orcid Image ;   Nikita Umov2 Author Orcid Image ;   Maria Malk1 Author Orcid Image ;   Markus Haug1 Author Orcid Image ;   Sven Laur1 Author Orcid Image ;   Marek Oja1 Author Orcid Image ;   Sirli Tamm1 Author Orcid Image ;   Sulev Reisberg1, 3 Author Orcid Image ;   Jaak Vilo1, 3 Author Orcid Image ;   Raivo Kolde1 Author Orcid Image
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Hendrik Šuvalov   1 , MSc ;   Nikita Umov   2 , MD ;   Maria Malk   1 , MSc ;   Markus Haug   1 , MSc ;   Sven Laur   1 , PhD ;   Marek Oja   1 , PhD ;   Sirli Tamm   1 , MSc ;   Sulev Reisberg   1, 3 , PhD ;   Jaak Vilo   1, 3 , PhD ;   Raivo Kolde   1 , PhD

1 Institute of Computer Science, University of Tartu, Tartu, Estonia

2 Institute of Family Medicine and Public Health, University of Tartu, Tartu, Estonia

3 Software Technology and Applications Competence Center, Tartu, Estonia

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