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

In three linesInferBERT combines transformers with Do-calculus to detect causal adverse drug events in pharmacovigilance. Comparative study on AILF and TRAM benchmarks: BioBERT outperforms XGBoost, ALBERT, and Med-LLaMA. Finding: domain-specific pre-training outweighs model size.

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