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Large Language Models Facilitate the Generation of Electronic Health Record Phenotyping Algorithms.

Chao YanHenry H OngMonika E GrabowskaMatthew S KrantzWu-Chen SuAlyson L DicksonJosh F PetersonQiPing FengDan M RodenC Michael SteinVern Eric KerchbergerBradley A MalinWei-Qi Wei
Published in: medRxiv : the preprint server for health sciences (2024)
GPT versions 3.5 and 4 are capable of drafting phenotyping algorithms by identifying relevant clinical criteria aligned with a CDM. However, expertise in informatics and clinical experience is still required to assess and further refine generated algorithms.
Keyphrases
  • electronic health record
  • machine learning
  • deep learning
  • high throughput
  • clinical decision support
  • big data
  • artificial intelligence
  • autism spectrum disorder