基于ChatGPT的医学领域自动问答系统:整合知识图谱与对话生成的智能助手

基于ChatGPT的医学领域自动问答系统:整合知识图谱与对话生成的智能助手


2024年6月3日发(作者:)

基于ChatGPT的医学领域自动问答系统:整合知识图谱与

对话生成的智能助手(英文中文双语版优质文档)

ChatGPT-based automatic question answering system in the

medical field: an intelligent assistant that integrates

knowledge graphs and dialogue generation (high-quality

documents in English and Chinese bilingual versions)

ChatGPT-based automatic question answering system in the

medical field: an intelligent assistant integrating knowledge

graph and dialogue generation

Summary

With the rapid development of artificial intelligence, the

application of automatic question answering system in the

medical field is becoming more and more important. This

paper proposes an automatic question answering system in

the medical field based on ChatGPT, which realizes the

function of an intelligent assistant by integrating knowledge

graph and dialogue generation. We trained a large language

model based on the GPT-3.5 architecture to understand and

answer medical questions. At the same time, we construct a

knowledge graph in the medical field, which contains rich

medical knowledge and entity relations. By combining

knowledge graphs with language models, we achieve more

accurate and comprehensive question answering capabilities.

Experimental results show that our system achieves

satisfactory performance on question answering tasks in the

medical domain, and can effectively assist medical

professionals in question answering and decision support.

1 Introduction


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