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.

FDA FAERS データ、薬物ラベル、不均衡分析 (PRR、ROR、IC)、および生物医学的証拠を使用して、薬物有害事象シグナルを検出および分析します。証拠の等級付けを使用して、定量的な安全性シグナル スコア (0 ～ 100) を生成します。市販後調査、ファーマコビジランス、医薬品安全性評価、有害事象調査、規制上の意思決定のサポートに使用します。 ソース: mims-harvard/tooluniverse。