Public Data for: Computer Assisted Verbal Autopsy: Comparing Large Language Models to Physicians for Assigning Causes to 6939 Deaths in Sierra Leone from 2019-2022

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dc.contributor.authorWen, Richard
dc.date.accessioned2026-10-19T21:35:25Z
dc.date.issued2025-12-07
dc.description.abstractPublic data on 6939 deaths in Sierra Leone from 2019-2022 acquired through verbal autopsy. The data was collected for a study comparing GPT and OpenVA models to physician coding of deaths.
dc.identifier.citationWen, R., Assalif, A. T., Lee, A. S.-H., Kamadod, R., Carshon-Marsh, R., Meh, C., Ng, K. S., Brown, P., Jha, P., & Ansumana, R. (2025). Public Data for: Computer Assisted Verbal Autopsy: Comparing Large Language Models to Physicians for Assigning Causes to 6939 Deaths in Sierra Leone from 2019-2022 [Data set]. Harvard University. https://doi.org/10.7910/dvn/qdljcf
dc.identifier.doi10.7910/dvn/qdljcf
dc.identifier.urihttps://doi.org/10.7910/dvn/qdljcf
dc.identifier.urihttps://dspace.njala.edu.sl/handle/20.500.144402/425
dc.publisherHarvard University
dc.relation.ispartofHarvard Dataverse
dc.rightsPublic domain
dc.subjectcause of death classification
dc.titlePublic Data for: Computer Assisted Verbal Autopsy: Comparing Large Language Models to Physicians for Assigning Causes to 6939 Deaths in Sierra Leone from 2019-2022
dc.typeDataset

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