Revisiting Disproportionality: Prescription-Adjusted and TF-IDF-Inspired Metrics for Post-Market ADR Detection

Adverse drug reaction (ADR) detection in post-market surveillance is limited by underreporting and the absence of drug utilization data. This study proposes three signal detection metrics-including a TF-IDF-inspired method (EF-IDF) and two prescription-adjusted measures-to improve pharmacovigilance, using ADHD medications and the FDA Adverse Event Reporting System (FAERS) as a case study. We standardized drug and ADR entities, integrated prescription data from Bloomberg Intelligence, and…

via https://pubmed.ncbi.nlm.nih.gov/41726499/?utm_source=Other&utm_medium=rss&utm_campaign=None&utm_content=1L37KAMf2b_g4WEK3LmdFuKZu9pO3cN7u4ZmO9PPCPeBLMIw1q&fc=None&ff=20260303010905&v=2.19.0.post6+133c1fe


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