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

Clinical Informatics (2315) Clinical Information and Decision Making (3783) Cardiac Risk and Cardiac Risk Calculators (180) Digital Biomarkers and Digital Phenotyping (452) Influenza and Influenza-Like-Illness (ILI) Surveillance (269) Outbreak and Pandemic Preparedness and Management (1972) COVID-19 Vaccination (274)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/54597, first published .
Laptop displaying medical codes and heart graphic, with FHIR books and calculator.

A Computable Phenotype Algorithm for Postvaccination Myocarditis/Pericarditis Detection Using Real-World Data: Validation Study

A Computable Phenotype Algorithm for Postvaccination Myocarditis/Pericarditis Detection Using Real-World Data: Validation Study

Authors of this article:

Matthew Deady1 Author Orcid Image ;   Raymond Duncan2 Author Orcid Image ;   Matthew Sonesen3 Author Orcid Image ;   Renier Estiandan3 Author Orcid Image ;   Kelly Stimpert4 Author Orcid Image ;   Sylvia Cho5 Author Orcid Image ;   Jeffrey Beers1 Author Orcid Image ;   Brian Goodness1 Author Orcid Image ;   Lance Daniel Jones1 Author Orcid Image ;   Richard Forshee5 Author Orcid Image ;   Steven A Anderson5 Author Orcid Image ;   Hussein Ezzeldin5 Author Orcid Image
Article Authors Cited by (3) Tweetations Metrics

Journals

  1. Hornback A, Marteau B, Tan S, Kim K, Patil O, Traynelis J, Zhu Y, Giuste F, Wang M. FHIR in Focus: Enabling Biomedical Data Harmonization for Intelligent Healthcare Systems. IEEE Reviews in Biomedical Engineering 2026;19:305 View
  2. Xiao L, Liu W, Ji Y, Li Q, Pan J, Xie R. Immunotherapy-related cardiovascular toxicity: from mechanisms to management. Frontiers in Pharmacology 2026;17 View
  3. Gaspar F, Roberts S, Campion F, Hoeksema L, Kasirsky J, Duncan R, Sonesen M, Estiandan R, Aziz K, Riddler J, Zhou J, Ezzeldin H. LLM and CQL computable phenotypes for myocarditis adverse event feature and outcome determinations using patient FHIR data: a feasibility study. Frontiers in Digital Health 2026;8 View