Adverse Event Representation
Adverse Event Representation is a computational framework within drug knowledge representation that formalizes the structured encoding of adverse drug reactions, enabling standardized identification, classification, and reasoning over patient safety-related phenotypes in biomedical data.
60
Publications
2.2K
Citations
256
Authors
132
Institutions
Publications per year
2017–2026
32
60
Text Mining for Adverse Drug Events: the Promise, Challenges, and State of the Art
Rave Harpaz, Alison Callahan, Suzanne Tamang et al. · Drug Safety · 2014 · 230 citations · Full text
OAE: The Ontology of Adverse Events
Yongqun He, Sirarat Sarntivijai, Yu Lin et al. · Journal of Biomedical Semantics · 2014 · 131 citations · Full text
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Stockholm University
Stockholm, Sweden
8 h-index
25 publications
857 citations
University of Michigan
Ann Arbor, United States
5 h-index
15 publications
1.1K citations
United States Food and Drug Administration
Silver Spring, United States
4 h-index
20 publications
578 citations
Stanford University
Stanford, United States
3 h-index
11 publications
2.2K citations
Center for Biologics Evaluation and Research
Silver Spring, United States
3 h-index
5 publications
136 citations
Mayo Clinic in Arizona
Scottsdale, United States
3 h-index
3 publications
55 citations
University at Buffalo, State University of New York
Buffalo, United States
3 h-index
3 publications
176 citations
Mayo Clinic in Florida
Jacksonville, United States
3 h-index
6 publications
106 citations
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6 publications · 230 citations
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Repository · 5 publications · 117 citations
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4 publications · 365 citations
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Book series · 4 publications · 191 citations
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JBMS · 3 publications · 163 citations
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