Kawasaki disease and fever diagnosis system based on embedding of incremental local discrimination subspace

Abstract

The present invention provides a Kawasaki disease and fever diagnosis system based on embedding of an incremental local discrimination subspace. The Kawasaki disease and fever diagnosis system comprises a training subsystem and a diagnostic subsystem. The training subsystem has the tasks of generating clinical manifestations for use of training from historical medical records of children with Kawasaki disease and a common fever, detecting physiological data, then analyzing local structure information, and searching for an optimal local discrimination subspace to establish a Kawasaki disease and fever feature model therein. Furthermore, when a new patient medical record is acquired, the training subsystem updates the model in an incremental learning manner. The diagnostic subsystem has the tasks of observing clinical manifestations of patients to be diagnosed, detecting physiological data, and determining whether the patients suffer from Kawasaki disease according to the Kawasaki disease and fever feature model established by the training subsystem. The present invention enables children suffering from Kawasaki disease to be treated in time, reducing the probability of developing into coronary artery dilatation or aneurysm, and alleviating the cardiovascular damage of the patients.

Description

technical field [0001] The present invention relates to a pediatric disease diagnosis system in the field of big data medical treatment, in particular to a Kawasaki disease and fever diagnosis system based on incremental local discriminant subspace embedding, which can be trained online, and can be used as a primary diagnostic tool for pediatricians. Diagnostics provide decision support. Background technique [0002] Kawasaki disease is a vasculitic syndrome, also known as mucocutaneous lymph node syndrome in children. It is a pediatric disease named after Dr. Tomisaku Kawasaki, Japan. Its clinical manifestations are fever, rash, swollen non-purulent lymph nodes in the neck, hyperemia of the conjunctiva of the eyes, diffuse hyperemia of the oral mucosa, bayberry tongue, erythema of the palms and soles, and hard edema of the hands and feet. Kawasaki disease occurs in children under the age of five, and the probability of boys getting it is about 1.5 times that of girls. The ...

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Problems solved by technology

However, this method has two disadvantages: 1) the classification uses linear discriminant analysis, which belongs to the linear global feature extraction method, and cannot fully mine the nonlinear local information hidden in the data; 2) the training method used requires batch Solving a generalized eigenvalue problem with data requires a large amount of calculation and is not easy to update online

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