Work

Artificial intelligence-powered pharmacovigilance: A review of machine and deep learning in clinical text-based adverse drug event detection for benchmark datasets

Year: 2024

Type: review

Source: Journal of Biomedical Informatics

DOI: 10.1016/j.jbi.2024.104621

Authors: Yiming Li, Wei Tao, Zehan Li, Zenan Sun, Fang Li, Susan Fenton, Hua Xu, Cui Tao

Institutions: The University of Texas Health Science Center at Houston, Mayo Clinic, Mayo Clinic in Florida, Yale 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, National Institute of Allergy and Infectious Diseases

Awards: Dynamic learning for post-vaccine event prediction using temporal information in VAERS, VIOLIN 2.0: Vaccine Information and Ontology LInked kNowledgebase

OpenAlex ID: W4392468106

FWCI: 5.661

Cites: 36

Cited by: 88

Related to: 10