2024年6月3日发(作者：)
基于ChatGPT的智能诊疗建议推荐系统设计与实现（英文
中文双语版优质文档）
The field of medicine is a very large and complex field,
encompassing a wide variety of different diseases, symptoms,
treatments, and drugs. Doctors need to master a lot of
medical knowledge and practical experience in order to be
able to make correct diagnosis and treatment plan. In modern
society, due to population growth and changes in lifestyle,
medical needs continue to increase, and medical resources are
becoming more and more strained. Therefore, establishing an
intelligent diagnosis and treatment recommendation system
that can provide medical practitioners and patients with
intelligent consultation and advice is of great significance for
alleviating medical pressure and improving medical efficiency.
This article will introduce the design and implementation of
an intelligent diagnosis and treatment recommendation
system based on ChatGPT. The system can automatically
extract medical knowledge, process and apply it according to
the user's questions, so as to provide the best medical advice.
At the same time, the system also has the ability of
self-learning, which can evaluate and correct its own answers
according to user feedback, so as to improve the accuracy and
reliability of the system.
1. Demand Analysis
Before designing an intelligent diagnosis and treatment
recommendation system, we first need to conduct a demand
analysis to clarify the functions and characteristics of the
system. According to the characteristics of the medical field,
we need to consider the following requirements:
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