Leveraging Language Models to Predict Causes of Death from Verbal Autopsy Narratives and Enabling Valid Statistical Inference
This paper develops a method for valid statistical inference using cause of death predictions from natural language processing models applied to free-text verbal autopsy narratives, addressing challenges of model accuracy and transportability across diverse contexts.