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

Adverse Drug Events Detection, Pharmacovigilance and Surveillance (189) Ontologies, Classifications, and Coding (276) Pharmacovigilance (156)

Published on in Vol 8, No 6 (2020): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17353, first published .
Detecting and Filtering Immune-Related Adverse Events Signal Based on Text Mining and Observational Health Data Sciences and Informatics Common Data Model: Framework Development Study

Detecting and Filtering Immune-Related Adverse Events Signal Based on Text Mining and Observational Health Data Sciences and Informatics Common Data Model: Framework Development Study

Detecting and Filtering Immune-Related Adverse Events Signal Based on Text Mining and Observational Health Data Sciences and Informatics Common Data Model: Framework Development Study

Authors of this article:

Yue Yu1 Author Orcid Image ;   Kathryn Ruddy2 Author Orcid Image ;   Aaron Mansfield2 Author Orcid Image ;   Nansu Zong1 Author Orcid Image ;   Andrew Wen1 Author Orcid Image ;   Shintaro Tsuji1 Author Orcid Image ;   Ming Huang1 Author Orcid Image ;   Hongfang Liu1 Author Orcid Image ;   Nilay Shah1 Author Orcid Image ;   Guoqian Jiang1 Author Orcid Image
Article Authors Cited by (6) Tweetations (1) Metrics

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  2. Shin H, Cha J, Lee C, Song H, Jeong H, Kim J, Lee S. The 2011–2020 Trends of Data-Driven Approaches in Medical Informatics for Active Pharmacovigilance. Applied Sciences 2021;11(5):2249 View
  3. Parolo S, Tomasoni D, Bora P, Ramponi A, Kaddi C, Azer K, Domenici E, Neves-Zaph S, Lombardo R. Reconstruction of the Cytokine Signaling in Lysosomal Storage Diseases by Literature Mining and Network Analysis. Frontiers in Cell and Developmental Biology 2021;9 View
  4. Botsis T, Kreimeyer K. Improving drug safety with adverse event detection using natural language processing. Expert Opinion on Drug Safety 2023;22(8):659 View
  5. Farnoush A, Sedighi-Maman Z, Rasoolian B, Heath J, Fallah B. Prediction of adverse drug reactions using demographic and non-clinical drug characteristics in FAERS data. Scientific Reports 2024;14(1) View

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