Research on Medical Intelligent Consultation Based on Question Generation Technology

With the development of medical service, intelligent consulting service platform has emerged on the Internet. Patients can choose doctors or experts according to their own conditions for dialogue consultation to obtain relevant medical knowledge and treatment suggestions. In recent years, text semantic modeling technology based on deep learning has been widely used in intelligent dialogue system. Deep neural network is an intelligent computing model simulating the brain information processing process. This paper uses this technology to optimize the dialogue link in the process of patients’ medical treatment. According to the patients’ condition introductions and questions, doctors decide whether to ask or answer, so as to reduce the diagnosis time of doctors and effectively improve the communication efficiency between doctors and patients.

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