Case reports unlocked: Harnessing large language models to advance research on child maltreatment.

Journal: Child abuse & neglect
PMID: 39689392

Abstract

BACKGROUND: Research on child protective services (CPS) is impeded by a lack of high-quality structured data. Crucial information on cases is often documented in case files, but only in narrative form. Researchers have applied automated language processing to extract structured data from these narratives, but this has been limited to classification tasks of fairly low complexity. Large language models (LLMs) may work for more challenging tasks.

Authors

  • Dragan Stoll
    School of Social Work, ZHAW Zurich University of Applied Sciences, Switzerland. Electronic address: dragan.stoll@zhaw.ch.
  • Samuel Wehrli
    School of Life Sciences and Facility Management, ZHAW Zurich University of Applied Sciences, Switzerland. Electronic address: samuel.wehrli@zhaw.ch.
  • David Lätsch
    School of Social Work, ZHAW Zurich University of Applied Sciences, Switzerland.

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