pharmacovigilance

#pharmacovigilance

Multi-Agent Retrieval-Augmented Causality Assessment (MARCA) of Individual Case Safety Reports in Pharmacovigilance

arXiv cs.CL ↗ · 2026-10-27 Cached

提出 MARCA 四智能体框架，利用 Gemini 2.5 Pro 和 DeepSeek-V3.2 结合检索增强生成（RAG）对 FAERS 个体案例安全报告进行基于 Naranjo 量表的因果关系评估，最终因果分类与人类专家的一致率达 79.4%（κ=0.587）。

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#pharmacovigilance

Optimizing Large Language Models for Causality Assessment in Pharmacovigilance: Developing a Performance Metric as Objective for Bayesian Hyperparameter Optimization

arXiv cs.CL ↗ · 2026-07-07 Cached

This paper presents a method to optimize GPT-5.2 temperature for Naranjo causality assessment in pharmacovigilance, achieving significant agreement improvements via Bayesian hyperparameter optimization with a novel composite metric (EWACS).

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The Critical Role of Model Selection in Causal Inference: A Comparative Analysis of Classification Models within the InferBERT Framework for Pharmacovigilance

arXiv cs.LG ↗ · 2026-06-17 Cached

This paper systematically evaluates the impact of classification model selection within the InferBERT framework for causal adverse drug event detection, finding that domain-specific pre-training (BioBERT) outperforms both simpler models and larger LLMs like Med-LLaMA.

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pharmacovigilance

Multi-Agent Retrieval-Augmented Causality Assessment (MARCA) of Individual Case Safety Reports in Pharmacovigilance

Optimizing Large Language Models for Causality Assessment in Pharmacovigilance: Developing a Performance Metric as Objective for Bayesian Hyperparameter Optimization

The Critical Role of Model Selection in Causal Inference: A Comparative Analysis of Classification Models within the InferBERT Framework for Pharmacovigilance

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