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

RCTs - Protocols/Proposals (funded, already peer-reviewed, eHealth) (353) Clinical Information and Decision Making (1411) Adverse Drug Events Detection, Pharmacovigilance and Surveillance (156) Electronic Health Records (1058)

Published on in Vol 11, No 11 (2022): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/40456, first published .
Automatic Detection of Adverse Drug Events in Geriatric Care: Study Proposal

Automatic Detection of Adverse Drug Events in Geriatric Care: Study Proposal

Automatic Detection of Adverse Drug Events in Geriatric Care: Study Proposal

Authors of this article:

Frederic Gaspar1, 2, 3 Author Orcid Image ;   Monika Lutters4 Author Orcid Image ;   Patrick Emanuel Beeler5 Author Orcid Image ;   Pierre Olivier Lang6 Author Orcid Image ;   Bernard Burnand7 Author Orcid Image ;   Fabio Rinaldi8, 9, 10, 11 Author Orcid Image ;   Christian Lovis12 Author Orcid Image ;   Chantal Csajka1, 2, 3 Author Orcid Image ;   Marie-Annick Le Pogam7 Author Orcid Image ;   SwissMADE study13
Article Authors Cited by (3) Tweetations (4) Metrics

Journals

  1. Modi S, Kasmiran K, Mohd Sharef N, Sharum M. Extracting adverse drug events from clinical Notes: A systematic review of approaches used. Journal of Biomedical Informatics 2024;151:104603 View
  2. Herrera C, Gimenes F, Herrera J, Cavalli R. Development of Automated Triggers in Ambulatory Settings in Brazil: Protocol for a Machine Learning–Based Design Thinking Study. JMIR Research Protocols 2024;13:e55466 View