Research on the Framework of Online Medical Health Wisdom Q&A Services Driven by Knowledge Graph and Large Language Model
[Purpose/Significance]Scholars mostly focused on pursuing the cutting-edge technology of medical intel-ligence Q&A,with less exploration and research on basic theories,and the two have not been integrated and developed.[Method/Process]On the basis of distinguishing relevant concepts,this study first elaborated on the connotation and char-acteristics of wisdom Q&A services in the field of online healthcare.Then,it deeply analyzed the connection between knowledge graphs and large language models,as well as the complementary integration ideas of the two in the field of online healthcare wisdom Q&A.Finally,it proposed a framework of online medical health wisdom Q&A services driven by knowl-edge graphs and large language models.[Result/Conclusion]The article integrates the theoretical characteristics of medi-cal wisdom Q&A services throughout the entire process of wisdom Q&A services,and innovatively proposes that its wisdom Q&A services should include three parts:the construction of medical knowledge graphs driven by large language models,the training of medical large models enhanced by knowledge graphs,and the process of wisdom Q&A services driven by knowledge graphs and large language models.This study achieved a deep integration of theory and technology,and the re-search results can be used for practical work in subsequent medical wisdom Q&A services.
knowledge graphlarge language modelonline medical healthwisdom Q&A services
万方数据
维普
