Eye disease identification mobile phone APP design method

Abstract

Provided is an eye disease identification mobile phone APP design method. An eye image acquisition module, an eye disease feature analysis module, an eye disease feature correction and manual input module and an eye disease feature knowledge base are constructed in a smart mobile phone APP. When a user of the mobile phone APP system notices an unknown eye disease symptom, as long as the user collects an eye picture through the camera of a smart mobile phone or directly input eye feature data, the system will provide videos, pictures, detailed description and recommendations about related eye diseases. The feature parameters include eye color, shape, smell, area, ache and itch, blister and bleeding parameters. The system can use other eye disease feature knowledge bases or build an eye disease feature knowledge base. Operators can get detailed information about eye diseases easily.

Description

technical field [0001] The invention relates to the field of mobile phone APPs, in particular to a method for designing a mobile phone APP for eye disease identification. Background technique [0002] Now, when people encounter certain eye disease symptoms, non-professionals and even some professionals cannot accurately explain the symptoms, let alone deal with them reasonably, delaying the treatment. In fact, at present, many medical institutions have established a complete electronic eye disease knowledge encyclopedia, as long as the name of the eye disease is entered, the detailed information of the eye disease can be queried. However, detailed information on eye diseases cannot be obtained without knowing the name of the eye disease. [0003] The main shortcoming of present prior art is as follows: [0004] 1. For the symptoms of eye diseases encountered, non-professionals, and even some professionals cannot accurately explain the symptoms; [0005] 2. Know the name o...

AI Technical Summary

Problems solved by technology

[0004] 1. For the symptoms of eye diseases encountered, non-professionals, and even some professionals cannot accurately explain the symptoms;

[0005] 2. Know the name of the eye disease, but cannot know its detailed description;

[0006] 3. There is no effective link between eye disease feature data identification and eye disease feature knowledge base

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