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Updated: Sep 13, 2025

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SBDH-Reader:一种大型语言模型驱动的方法,用于从临床笔记中提取健康的社会和行为决定因素

Zifan Gu1, Lesi He2, Awais Naeem3

  • 1Quantitative Biomedical Research Center, Department of Health Data Science and Biostatistics, Peter O'Donnell Jr. School of Public Health, The University of Texas Southwestern Medical Center, Dallas, TX 75390, United States.

Journal of the American Medical Informatics Association : JAMIA
|July 28, 2025
PubMed
概括

一种新的大型语言模型 (LLM) 方法,SBDH-Reader,从临床笔记中准确地提取健康的社会和行为决定因素 (SBDH). 这种可扩展的方法增强了SBDH用于研究和患者护理的数据收集.

关键词:
欧洲人权理事会 欧洲人权理事会健康的行为决定因素.大型语言模型自然语言处理自然语言处理.健康的社会决定因素

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