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Structuring medication signeturs as a language regression task: comparison of zero- and few-shot GPT with fine-tuned models.

Augusto Garcia-AgundezJulia L KayJing LiMilena GianfrancescoBaljeet RaiAngela HuGabriela SchmajukRebecca Grainger
Published in: JAMIA open (2024)
LLMs show great potential to rapidly extract structured data from sigs in no-code fashion for clinical and research applications.
Keyphrases
  • air pollution
  • electronic health record
  • autism spectrum disorder
  • oxidative stress
  • healthcare
  • big data
  • adverse drug
  • emergency department
  • artificial intelligence
  • deep learning
  • climate change