Hospital intelligent service public opinion monitoring platform based on LSTM network

Abstract

The invention discloses a hospital intelligent service public opinion monitoring platform based on an LSTM network in the technical field. The hospital intelligent service public opinion monitoring platform includes a comment collection stage, a classification and data conversion stage, a model building stage and a platform application stage. Through establishing an LSTM network model, information comment public opinions, which are closely related to patients and easily cause tension of doctor-patient relationship, such as a hospital overall environment, a ward environment, a doctor seeing process, an operation process, a hospitalization process, a doctor treatment level, a nurse service level, hospital health and the like are monitored, and monitoring results are reorganized, analyzed and summarized; and a summarizing result is transmitted to a hospital management platform, so that the hospital can take measures for the emphasized problems, the service level of the hospital is improved, and meanwhile, the medical experience of the patient is also improved.

Description

technical field [0001] The invention relates to the field, in particular to an LSTM network-based hospital intelligence service public opinion monitoring platform. Background technique [0002] At present, due to the shortage of medical resources and the unbalanced allocation of medical resources in my country, the flow of people in large hospitals is huge, making it difficult to improve the level of medical services in large hospitals, and at the same time further exacerbating the "doctor-patient contradiction". Monitoring is an effective method. For patients, transmitting their own treatment experience to the service platform of the hospital through the Internet can reflect the outstanding problems in the hospital. For the hospital, by summarizing and analyzing patients' comments, they can find outstanding problems And take measures to solve it, so as to improve the medical service level of the hospital. [0003] At present, the sentiment analysis method for comments mainly...

AI Technical Summary

Problems solved by technology

However, hospital reviews involve many different scenarios, such as the environment of the hospital, the service level of nurses, the treatment level of doctors, etc., and cannot be monitored comprehensively.

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