Work

Toward multimodal signal detection of adverse drug reactions

Year: 2017

Type: article

Source: Journal of Biomedical Informatics

DOI: 10.1016/j.jbi.2017.10.013

Authors: Rave Harpaz, William DuMouchel, Martijn Schuemie, Olivier Bodenreider, Carol Friedman, Eric Horvitz, Anna Ripple, Alfred Sorbello, Ryen W. White, Rainer Winnenburg, Nigam H. Shah

Institutions: National Institutes of Health, United States National Library of Medicine, Columbia University, Microsoft (United States), United States Food and Drug Administration, Stanford University

Language: English

Topic: Pharmacovigilance and Adverse Drug Reactions

Subfield: Toxicology

Field: Pharmacology, Toxicology and Pharmaceutics

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: bronze

Funders: National Institutes of Health, U.S. Food and Drug Administration, Oak Ridge Institute for Science and Education, National Institute of General Medical Sciences, U.S. National Library of Medicine

Awards: G1362058311, G7108608281, G9000330765, Interpretable deep learning models for translational medicine Renewal

OpenAlex ID: W2766933667

FWCI: 7.223

Cites: 49

Cited by: 39

Related to: 10