Deductively coding psychosocial autopsy interview data using a few-shot learning large language model

Deductively coding psychosocial autopsy interview data using a few-shot learning large language model

BackgroundPsychosocial autopsy is a retrospective study of suicide, aimed to identify emerging themes and psychosocial risk factors. It typically relies heavily on qualitative data from interviews or medical documentation. However, qualitative research has often been scrutinized for being prone to b...

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Bibliographic Details
Main Authors: Elias Balt, Salim Salmi, Sandjai Bhulai, Stefan Vrinzen, Merijn Eikelenboom, Renske Gilissen, Daan Creemers, Arne Popma, Saskia Mérelle
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-02-01
Series:Frontiers in Public Health
Subjects:
qualitative research
psychosocial autopsy
large language model (LLM)
suicide prevention
public health
Online Access:https://www.frontiersin.org/articles/10.3389/fpubh.2025.1512537/full
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https://www.frontiersin.org/articles/10.3389/fpubh.2025.1512537/full

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