From Narratives to Numbers: Valid Inference Using Language Model Predictions from Verbal Autopsy Narratives

arXiv:2404.02438v1 Announce Type: cross
Abstract: In settings where most deaths occur outside the healthcare system, verbal autopsies (VAs) are a common tool to monitor trends in causes of death (COD). VAs are interviews with a surviving caregiver or relative that are used to predict the decedent's COD. Turning VAs into actionable insights for researchers and policymakers requires two steps (i) predicting likely COD using the VA interview and (ii) performing inference with predicted CODs (e.g. modeling the breakdown of causes …

abstract arxiv cs.cl cs.lg death healthcare healthcare system inference interviews language language model numbers predictions stat.ml tool trends type verbal