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

A technology for early diagnosis of Alzheimer's disease, applied in the field of computer science, to achieve the effect of improving classification accuracy

Pending Publication Date: 2020-11-17
SHANGHAI ENG RES CENT FOR BROADBAND TECH & APPL
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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

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

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[0036] Embodiments of the present application are described below through specific examples, and those skilled in the art can easily understand other advantages and effects of the present application from the content disclosed in this specification. The present application can also be implemented or applied through other different specific implementation modes, and various modifications or changes can be made to the details in this specification based on different viewpoints and applications without departing from the spirit of the present application. It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other.

[0037] The embodiments of the present application will be described in detail below with reference to the accompanying drawings, so that those skilled in the art of the present application can easily implement them. The present application can be embodied in variou...

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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...

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Application Information

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IPC IPC(8): A61B5/055
CPCA61B5/055A61B5/4088A61B5/7267
Inventor 李刚陆美珠李超李萍许飞林娜娜
Owner SHANGHAI ENG RES CENT FOR BROADBAND TECH & APPL
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