pharmacovigilance

#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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#pharmacovigilance

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

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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