中国中医药图书情报杂志2024，Vol.48Issue(2)：108-113,6.DOI:10.3969/j.issn.2095-5707.202401008
基于大语言模型的中医医案命名实体抽取研究
Study on Named Entity Extraction in TCM Medical Records Based on Large Language Models
摘要
Abstract
The era of artificial intelligence has bestowed greater academic value upon a vast amount of TCM medical records.However,the non-standardization of medical record texts and the multitude of named entity types present significant obstacles to in-depth research on TCM medical records.Based on a review of the evolution of TCM medical record formats,analysis of structural elements in medical records,and the construction of a medical record information model,this study developed prompts for named entity extraction in medical records using large language models,and explored the automated extraction process of named entities in medical records based on large language models and ultimately developed a tool for structuring medical record texts.The study also explored feasible paths for the structured analysis of TCM medical records and the extraction of scientific data from large-scale TCM medical records,with the purpose to establish a data foundation for artificial intelligence research based on TCM medical records.关键词
中医医案/大语言模型/命名实体抽取/医案信息模型/人工智能Key words
TCM medical records/large language models/named entity extraction/medical record information model/artificial intelligence分类
医药卫生引用本文复制引用
李盼飞,杨小康,白逸晨,李海燕..基于大语言模型的中医医案命名实体抽取研究[J].中国中医药图书情报杂志,2024,48(2):108-113,6.基金项目
中国博士后科学基金面上项目(2023M743920) （2023M743920）
中国中医科学院科技创新工程-中医药信息学创新团队(CI2021B002) （CI2021B002）
中国中医科学院基本科研业务费自主选题项目(ZZ160315) （ZZ160315）
