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

Adverse Drug Events Detection, Pharmacovigilance and Surveillance (89) Ontologies, Classifications, and Coding (159) Pharmacovigilance (77)

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 Yu 1 Author Orcid Image ;   Kathryn Ruddy 2 Author Orcid Image ;   Aaron Mansfield 2 Author Orcid Image ;   Nansu Zong 1 Author Orcid Image ;   Andrew Wen 1 Author Orcid Image ;   Shintaro Tsuji 1 Author Orcid Image ;   Ming Huang 1 Author Orcid Image ;   Hongfang Liu 1 Author Orcid Image ;   Nilay Shah 1 Author Orcid Image ;   Guoqian Jiang 1 Author Orcid Image
Article Authors Cited by (2) 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