Research and Design of a Medical Dialogue System Based on the Rasa Framework

As deep learning, natural language processing, and dialogue systems keep advancing, these technologies have not only revolutionized human-computer interaction but have also found applications in various fields such as customer service, healthcare, and education. This progress enables more natural and effective communication between humans and machines, driving innovation and creating new possibilities for intelligent automation and personalized user experiences, as well as increasing attention to personal and family health, medical dialogue systems have garnered significant attention like never before. In this context, this paper proposes a medical question-and-answer system based on the Rasa framework. This study proposes a medical question-and-answer system utilizing the Rasa framework. The two primary modules of the Rasa development framework are introduced and discussed in detail, Rasa NLU and Rasa Core, and then provides a detailed description of the system design and implementation methods, including an in-depth explanation of the dialogue management module's dialogue strategy. Finally, the paper presents the system's web interface.