tooluniverse-adverse-event-detection

Automated pipeline for detecting, quantifying, and contextualizing adverse drug event signals using FAERS disproportionality analysis, FDA label mining, mechanism-based prediction, and literature evidence. Produces a quantitative Safety Signal Score (0-100) for regulatory and clinical decision-making.

Differentiation from tooluniverse-pharmacovigilance: This skill focuses specifically on signal detection and quantification using disproportionality analysis (PRR, ROR, IC) with statistical rigor, produces a quantitative Safety Signal Score (0-100), and performs comparative safety analysis across drug classes. The pharmacovigilance skill provides broader safety profiling without the same depth of signal detection...

CRITICAL: This is the core of the skill. For each top adverse event (at least top 15-20), calculate PRR, ROR, and IC with 95% confidence intervals.

使用 FDA FAERS 数据、药物标签、不成比例分析（PRR、ROR、IC）和生物医学证据检测和分析药物不良事件信号。生成带有证据分级的定量安全信号评分 (0-100)。用于上市后监测、药物警戒、药物安全评估、不良事件调查和监管决策支持。 来源：mims-harvard/tooluniverse。