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

Adverse Drug Events Detection, Pharmacovigilance and Surveillance (171) Advanced Data Analytics in eHealth (154) eHealth Infrastructures (374) Machine Learning (1627) Quality Improvement (267) Development and Evaluation of Research Methods, Instruments and Tools (598) Public (e)Health, Digital Epidemiology and Public Health Informatics (823) Artificial Intelligence (1602)

Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/49643, first published .
Data-Driven Identification of Factors That Influence the Quality of Adverse Event Reports: 15-Year Interpretable Machine Learning and Time-Series Analyses of VigiBase and QUEST

Data-Driven Identification of Factors That Influence the Quality of Adverse Event Reports: 15-Year Interpretable Machine Learning and Time-Series Analyses of VigiBase and QUEST

Data-Driven Identification of Factors That Influence the Quality of Adverse Event Reports: 15-Year Interpretable Machine Learning and Time-Series Analyses of VigiBase and QUEST

Authors of this article:

Sim Mei Choo1, 2 Author Orcid Image ;   Daniele Sartori3 Author Orcid Image ;   Sing Chet Lee1 Author Orcid Image ;   Hsuan-Chia Yang2, 4, 5, 6 Author Orcid Image ;   Shabbir Syed-Abdul2, 4, 7 Author Orcid Image
Article Authors Cited by (2) Tweetations (6) Metrics
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JMIR Publications JMIR Publications @jmirpub

New JMIR MedInform: Data-Driven Identification of Factors That Influence the Quality of Adverse Event Reports: 15-Year Interpretable Machine Learning and Time-Series Analyses of VigiBase and QUEST https://t.co/Js58WBfNAj https://t.co/CYEHrTvFNk

4:06 PM · Apr 03, 2024

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JMIR Medical Informatics JMIR Medical Informatics @JMIR_MedInform

RT @jmirpub: New JMIR MedInform: Data-Driven Identification of Factors That Influence the Quality of Adverse Event Reports: 15-Year Interpr…

4:07 PM · Apr 03, 2024

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RT @jmirpub: New JMIR MedInform: Data-Driven Identification of Factors That Influence the Quality of Adverse Event Reports: 15-Year Interpr…

4:08 PM · Apr 03, 2024

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Uppsala Monitoring Centre Uppsala Monitoring Centre @UMCGlobalSafety

In @jmirpub Medical Informatics, @cardboardfigure and coauthors utilise #MachineLearning and time-series analyses to determine what factors influence the quality of adverse event reports submitted to #VigiBase in Malaysia????????. Open access???? https://t.co/rSHAD09HfC

2:00 PM · Aug 15, 2024

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RT @UMCGlobalSafety: In @jmirpub Medical Informatics, @cardboardfigure and coauthors utilise #MachineLearning and time-series analyses to d…

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JMIR Publications JMIR Publications @jmirpub

RT @UMCGlobalSafety: In @jmirpub Medical Informatics, @cardboardfigure and coauthors utilise #MachineLearning and time-series analyses to d…

1:36 PM · Aug 16, 2024

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