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

Clinical Information and Decision Making (1915) Adverse Drug Events Detection, Pharmacovigilance and Surveillance (215) Drug Repurposing and Off-Label Use (28) Digital Health Reporting Standards, Quality and Transparency in e-Research (132)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/65872, first published .
Detection of Clinically Significant Drug-Drug Interactions in Fatal Torsades de Pointes: Disproportionality Analysis of the Food and Drug Administration Adverse Event Reporting System

Detection of Clinically Significant Drug-Drug Interactions in Fatal Torsades de Pointes: Disproportionality Analysis of the Food and Drug Administration Adverse Event Reporting System

Detection of Clinically Significant Drug-Drug Interactions in Fatal Torsades de Pointes: Disproportionality Analysis of the Food and Drug Administration Adverse Event Reporting System

Authors of this article:

Huanhuan Ji1 Author Orcid Image ;   Meiling Gong1, 2 Author Orcid Image ;   Li Gong3 Author Orcid Image ;   Ni Zhang4 Author Orcid Image ;   Ruiou Zhou1 Author Orcid Image ;   Dongmei Deng1 Author Orcid Image ;   Ya Yang1 Author Orcid Image ;   Lin Song1 Author Orcid Image ;   Yuntao Jia1 Author Orcid Image
Article Authors Cited by (1) Tweetations Metrics

Journals

  1. Shi W, Zhang Y, Ning J. Robust spurious drug–drug interaction detection via chi-square-guided bidirectional attention mechanism. Engineering Applications of Artificial Intelligence 2025;162:112331 View