Upper-lower-level ophthalmology remote diagnosis platform and its construction method based on deep learning

Abstract

The present invention discloses a remote diagnosis platform for ophthalmology departments of upper and lower hospitals based on deep learning and its construction method. Firstly, the front-end user login and identity verification interface are designed, and the database is designed and constructed according to the functions and requirements of the upper and lower joint diagnosis platform, and then Using PHP and using the Thinkphp framework to develop a remote joint diagnosis platform for ophthalmology in upper and lower hospitals, and realize various functions of the platform on the basis of the completed database. The platform includes a lower-level hospital processing module and a higher-level hospital processing module. The lower-level hospital processing module is composed of a consultation application module, a lower-level online interaction module, a lower-level information encryption module, and a lower-level information decryption module. The upper-level hospital processing module is composed of a higher-level information decryption module and a higher-level hospital online It consists of an interactive module, a consultation application processing module, a classification recommendation module, and a higher-level information encryption module. It solves the problem that the existing diagnostic platform has low security guarantee and cannot give recommended diagnosis and treatment plan.

Description

technical field [0001] The invention belongs to the technical field of computer information processing, and relates to an ophthalmology remote joint diagnosis platform based on deep learning and a construction method thereof. Background technique [0002] At present, there are many online diagnosis and treatment cloud platforms on the market, which are dedicated to connecting patients and specialists, in order to achieve the model of "seeing a doctor without leaving home". From the perspective of the existing technology platform, the network information is mixed, lacking the professionalism and authority of doctors, and the effectiveness of treating diseases is also unpredictable. And for patients with more difficult living conditions or seriously ill patients, there is no special priority, it is easy to delay the disease, and it is easy to cause the system platform to crash when the number of users is large. [0003] In addition, many existing platforms lack the advice of ...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a remote diagnosis platform for ophthalmology in upper and lower hospitals based on deep learning to solve the problem that the existing diagnosis platform has no privileges for critically ill patients and easily delays the disease, and the system platform crashes easily when the number of users is large. The problem of low security guarantee, and the problem of not being able to make full use of medical big data intelligence to give recommended diagnosis and treatment plan

Images