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 數據、藥物標籤、不成比例分析（PRR、ROR、IC）和生物醫學證據檢測和分析藥物不良事件訊號。產生帶有證據分級的定量安全訊號評分 (0-100)。用於上市後監測、藥物警戒、藥物安全評估、不良事件調查和監管決策支援。 來源：mims-harvard/tooluniverse。