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 데이터, 약물 라벨, 불균형 분석(PRR, ROR, IC) 및 생물의학 증거를 사용하여 약물 부작용 신호를 탐지하고 분석합니다. 증거 등급을 통해 정량적 안전 신호 점수(0-100)를 생성합니다. 시판 후 감시, 약물 감시, 약물 안전성 평가, 부작용 조사 및 규제 결정 지원에 사용됩니다. 출처: mims-harvard/tooluniverse.