Skin disease comprehensive data analysis and diagnosis auxiliary system and information processing method

Abstract

The invention discloses a skin disease comprehensive data analysis and diagnosis auxiliary system and an information processing method thereof. The skin disease comprehensive data analysis and diagnosis auxiliary system comprises an information extraction system; a patient information database; an electronic medical record learning system; a medical history-disease database; an image database; a skin iconography image feature recognition and analysis system; a feature-disease database; and an expert database. According to the invention, artificial intelligence is used to analyze skin iconography image data containing a lot of skin disease characteristics, in combination with double diagnosis results of clinical electronic medical record text data, comprehensive skin imaging pictures and electronic medical records, the skin disease comprehensive data analysis and diagnosis auxiliary system is provided, the system can automatically generate and feed back a target disease range, and moreobjective and reliable diagnosis and treatment suggestions are given compared with an existing artificial intelligence diagnosis system. The information processing method of the skin disease comprehensive data analysis and diagnosis auxiliary system is a method for processing the skin iconography picture data information when the system runs.

Description

technical field

[0001] The invention relates to the field of skin disease diagnosis, in particular to an auxiliary system for comprehensive data analysis and diagnosis of skin diseases and an information processing method. Background technique

[0002] There are many types of skin diseases, and the general etiology and pathology are relatively complex. Some of the etiologies have not yet been fully understood, which has a huge impact on the normal life of patients. However, at present, the high-quality medical resources for skin diseases are relatively unbalanced clinically. Facing the serious asymmetry between the supply and demand of doctors and patients and the popularization of artificial intelligence, the application of artificial intelligence to assist disease diagnosis has emerged.

[0003] At present, artificial intelligence-assisted diagnosis widely used in skin disease diagnosis mostly relies on extracting general image features of skin appearance, learning the rel...

Images