Intelligent assisted diagnosis method for children respiratory diseases and diagnosis system thereof

Abstract

The invention provides an intelligent assisted diagnosis method for children respiratory diseases and a diagnosis system thereof. The method comprises the steps of S1, acquiring assisted examination information of a to-be-diagnosed child and/or doctor interrogation diagnosis recording information; S2, according to the assisted examination information and/or doctor interrogation diagnosis recordinginformation, screening key information; and S3, according to a pre-established children disease knowledge database system, processing the key information by means of a pre-trained typical symptom diagnosis model, thereby obtaining a diagnosis result. The diagnosis result comprises at least one possible disease, and the characteristic, which corresponds with each possible disease, of the to-be-diagnosed child. The intelligent assisted diagnosis method can help non-expert doctors in improving diagnosis levels for difficult disease, thereby reducing misdiagnosis.

Description

technical field [0001] The invention relates to artificial intelligence technology, in particular to an intelligent auxiliary diagnosis method and diagnosis system for children's respiratory diseases. Background technique [0002] The shortage of personnel and uneven distribution of abilities in the existing children's medical and health services in my country are still very serious. The grassroots personnel lack rich clinical experience, and traditional medical training methods are also difficult to play the expected role. Its direct manifestation is that it is often difficult for grassroots doctors to shoulder their due responsibilities, and it is difficult for patients to receive high-quality medical services. [0003] For this reason, people in the industry pay attention to the ability to replicate the best pediatric medical resources in China based on artificial intelligence-based technology, and realize the orderly and effective sinking of high-quality medical resource...

AI Technical Summary

Problems solved by technology

[0005] The above-mentioned Baidu medical brain cannot realize the diagnosis and treatment of children's diseases

Since children cannot express, their individual characteristics cannot be clearly known

At present, artificial intelligence is still blank in the diagnosis and treatment of children's respiratory diseases, especially intractable diseases. The existing artificial intelligence image analysis is limited to adult lung radiology images, and most of them focus on the interpretation of lung cancer. There are very few studies on intractable diseases in the respiratory department, and the application of radiological imaging is strictly limited in clinical practice due to the special nature of children

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