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ADE Eval: An Evaluation of Text Processing Systems for Adverse Event Extraction from Drug Labels for Pharmacovigilance
2020
Drug Safety
The US FDA is interested in a tool that would enable pharmacovigilance safety evaluators to automate the identification of adverse drug events (ADEs) mentioned in FDA prescribing information. The MITRE Corporation (MITRE) and the FDA organized a shared task-Adverse Drug Event Evaluation (ADE Eval)-to determine whether the performance of algorithms currently used for natural language processing (NLP) might be good enough for real-world use. ADE Eval was conducted to evaluate a range of NLP
doi:10.1007/s40264-020-00996-3
pmid:33006728
pmcid:PMC7813736
fatcat:ov6rytfn5naoragwaaesk7urbi