Dizziness diagnosis device and system based on ensemble learning

Abstract

The invention provides a dizziness diagnosis device and system based on ensemble learning. The dizziness diagnosis device based on ensemble learning comprises a dizziness information acquisition module used for acquiring dizziness information of a target patient, a diagnosis model acquisition module used for acquiring a dizziness diagnosis model based on ensemble learning, and a dizziness diagnosis module connected with the dizziness information acquisition module and the diagnosis model acquisition module and used for processing the dizziness information of the target patient by utilizing the dizziness diagnosis model so as to acquire a diagnosis result of the target patient, wherein the dizziness diagnosis model is generated by a diagnosis model building module. In the process of diagnosing the target patient by using the ensemble learning-based dizziness diagnosis device, manual participation is basically not needed, so that dizziness diagnosis is not limited by the level of medical personnel, and the diagnosis process is simple.

Description

technical field [0001] The invention belongs to the field of computer-aided diagnosis, and relates to a diagnosis device, in particular to a vertigo diagnosis device and system based on integrated learning. Background technique [0002] Otogenic vertigo is one of the common diseases in otolaryngology. It has a high incidence and great harm. It is mainly characterized by rotational vertigo and involves multiple organs and systems such as the central nervous system, sensory system, and motor system. Otogenic vertigo is often accompanied by functional damage to the vestibular organs of the ear. Even with timely and correct drug treatment, some functions will not be fully restored. The patient's balance dysfunction is the biggest obstacle affecting the quality of life of vertigo patients. Scientific rehabilitation training can effectively allow patients to fully recover their normal life through functional compensation, and is an extremely effective adjuvant treatment for the se...

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Problems solved by technology

[0004] In view of the above-mentioned shortcomings of the prior art, the object of the present invention is to provide a vertigo diagnosis device and system based on integrated learning, which is used to solve the existing treatment plan for ear-derived vertigo, the diagnosis process is complicated and the medical staff's higher level questions

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