RAMIE: retrieval-augmented multi-task information extraction with large language models on dietary supplements.

Journal: Journal of the American Medical Informatics Association : JAMIA
PMID:

Abstract

OBJECTIVE: To develop an advanced multi-task large language model (LLM) framework for extracting diverse types of information about dietary supplements (DSs) from clinical records.

Authors

  • Zaifu Zhan
    Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN, USA.
  • Shuang Zhou
    NHC Key Laboratory of Food Safety Risk Assessment, China National Center for Food Safety Risk Assessment, Beijing 100021, PR China. Electronic address: szhoupku@gmail.com.
  • Mingchen Li
    Division of Computational Health Sciences, Department of Surgery, University of Minnesota, Minneapolis, MN, USA.
  • Rui Zhang
    Department of Cardiology, Zhongda Hospital, Medical School of Southeast University, Nanjing, China.