Superior and subordinate ophthalmology remote diagnosis platform based on deep learning and construction method thereof

Abstract

The invention discloses a superior and subordinate hospital ophthalmology remote diagnosis platform based on deep learning and a construction method thereof. The method comprises the steps: performingfront-end user login and identity verification interface design; according to the functions and requirements of a superior and subordinate joint diagnosis platform, designing and constructing a database, developing the superior and subordinate hospital ophthalmology remote joint diagnosis platform by adopting PHP and utilizing a Thinkphp framework, and implementing various functions of the platform on the basis of the constructed database. The platform comprises a lower-level hospital processing module and an upper-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 an upper-level information decryption module, an upper-level hospital online interaction module, a consultation application processing module, a classificationrecommendation module and an upper-level information encryption module. The problems that an existing diagnosis platform is low in safety guarantee and cannot give recommended diagnosis and treatmentschemes are solved.

Description

technical field [0001] The invention belongs to the technical field of computer information processing, and relates to a deep learning-based remote joint diagnosis platform for ophthalmology departments of upper and lower hospitals and a construction method thereof. Background technique [0002] At present, there are many online diagnosis and treatment cloud platforms on the market, dedicated to connecting patients and specialists, in order to achieve the model of "seeing a doctor without going out". Judging from the existing technology platform, online 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, and 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] Moreover, many existing platforms lack t...

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