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

Adverse Drug Events Detection, Pharmacovigilance and Surveillance (156) Ontologies, Classifications, and Coding (239) Pharmacovigilance (134)

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 (5) Tweetations (1) Metrics

Yue Yu   1 , PhD ;   Kathryn Ruddy   2 , MD ;   Aaron Mansfield   2 , MD ;   Nansu Zong   1 , PhD ;   Andrew Wen   1 , MSc ;   Shintaro Tsuji   1 , PhD ;   Ming Huang   1 , PhD ;   Hongfang Liu   1 , PhD ;   Nilay Shah   1 , PhD ;   Guoqian Jiang   1 , MD, PhD

1 Department of Health Sciences Research, Mayo Clinic, Rochester, MN, United States

2 Division of Medical Oncology, Department of Oncology, Mayo Clinic, Rochester, MN, United States

Corresponding Author:

  • Guoqian Jiang, MD, PhD
  • Department of Health Sciences Research
  • Mayo Clinic
  • 200 First Street SW
  • Rochester, MN, 55901
  • United States
  • Phone: 1 507 284 2511
  • Email: jiang.guoqian@mayo.edu