Locally linear embedding-based (LLE-based) early diagnosis method for Alzheimer disease, device and system

Abstract

The application provides a locally linear embedding-based (LLE-based) early diagnosis method for the Alzheimer disease, a device and a system. Aiming at the defects that a traditional linear feature extraction method ignores nonlinear distribution of early stage data of the Alzheimer disease (AD), and local linear embedding method (LLE) in nonlinear feature extraction does not fully utilize labelinformation, the application proposes that a supervised locally linear embedding (SLLE) method is employed to carry out early diagnosis on the AD. A modified local linear embedding (MLLE) algorithm for modified distance is proposed; neighbor points are calculated by the geodesic distance between sample points, and the sample distance is adjusted by utilizing a reciprocal of an average value of thedistance between the sample points and the neighbor points, so that overall distribution tends to be uniform. In combination with the idea of supervised learning, an SMLLE method for supervised homogenized distance is applied to early diagnosis of the AD, and the algorithms of the invention better improve the effect of early classification of the AD.

Description

technical field [0001] This application relates to the field of computer science and technology, in particular to a method, device and system for early diagnosis of Alzheimer's disease based on LLE. Background technique [0002] Alzheimer's disease (AD), also known as senile dementia, is a progressive neurodegenerative disease with high morbidity and mortality. Loss is a huge hazard to human health, and it is the main disease that causes disability and death in the elderly. According to epidemiological data in my country, the total prevalence of AD among the population over 55 years old is 2.9%, 5.22% over 65 years old, and 32% over 80 years old. In 2010, the number of AD patients in my country reached 5.69 million, ranking first in the world. One, it is estimated that there will be more than 20 million AD patients in my country in 2050. AD has a high morbidity rate, and patients lose their ability to live independently in the late stage, and they completely need the care o...

AI Technical Summary

Problems solved by technology

[0012] In view of the shortcomings of the prior art described above, the purpose of this application is to provide an LLE-based early diagnosis method, device, and system for Alzheimer's disease, so as to solve the problem of how to quickly solve the problem in the prior art under the condition of limited computing resources. The result of the synthetic and high-resolution fluid is close to the problem of realistic high-resolution fluid simulation results

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