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Early Alzheimer's disease diagnosis system based on artificial intelligence

A technology of Alzheimer's disease and diagnosis system, which is applied in the field of early Alzheimer's disease diagnosis system to achieve the effect of speeding up calculation, low cost, and reducing the demand for memory space

Active Publication Date: 2022-02-01
CHANGSHU INSTITUTE OF TECHNOLOGY
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  • Claims
  • Application Information

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Problems solved by technology

Technical means 1 also has the disadvantage of requiring professional doctors to intervene in judgment

Method used

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  • Early Alzheimer's disease diagnosis system based on artificial intelligence

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Embodiment

[0034] First, the user tells a piece of text, which is automatically translated into text through the ASR program after recording. The text is then fed into an NLP processing program, which automatically gives a judgment of whether the patient has AD or not. The entire system can be completed on a computer or transplanted to a smartphone. The whole process does not require the participation of professional doctors. The diagnosis is fast and the cost is low. It is suitable for AD screening of large-scale populations.

[0035] The core technology of the whole system is NLP, and its judgment principle is as follows.

[0036] 1. Find a sufficient number of learning samples, and classify them into AD group and healthy person group according to the labels of AD patients and healthy people;

[0037] 2. Sort the words in the text according to the frequency of occurrence, and extract the first n high-frequency words from the AD patient group to form set A; extract the first m high-fre...

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Abstract

The invention discloses a method for diagnosing early Alzheimer's disease based on artificial intelligence. After acquiring text reading aloud recordings, it is automatically translated into text through an ASR program; and then the text is processed according to the following new algorithm of NLP to determine whether the user has AD. Compared with the traditional NLP algorithm, the new algorithm obtains the feature sets of the AD group and the healthy person group respectively, and performs set operations on the feature sets to achieve effective dimensionality reduction of the features, which not only improves the recognition accuracy of the model, but also reduces the accuracy of the algorithm. The demand for memory space speeds up the calculation speed. This method can be applied to computer terminals as well as mobile terminals. The user only needs to speak for a few minutes according to the prompts, without the intervention and analysis of professional doctors. The machine can give the judgment of whether the user suffers from AD through artificial intelligence. The method does not cause trauma to the human body, has low cost, fast diagnosis speed, and is easy to use. It is an effective technical means for large-scale screening of early AD.

Description

technical field [0001] The invention belongs to the field of artificial intelligence, and more specifically relates to an early Alzheimer's disease diagnosis system based on artificial intelligence. Background technique [0002] Alzheimer's disease (AD) is a neurodegenerative disease with insidious onset and progressive development. In 2017, 5.7 million people in the United States alone suffered from the disease, and related medical expenses reached 232 billion U.S. dollars. With the advent of an aging society, the incidence of Alzheimer's disease shows a trend of rapid growth. Currently, there is no specific drug for the treatment of Alzheimer's disease. Early detection, early intervention, and early treatment are the only means of diagnosis and treatment of AD. [0003] The medical methods for diagnosing AD include 1. Neuropsychological tests (Mini Mental Examination (MMSE)), 2. Neuroimaging examinations (CT, MRI, PET) 3. Cerebrospinal fluid detection (beta amyloid prot...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G16H50/20G06N20/00
CPCG16H50/20
Inventor 吕岗朱培逸徐本连鲁明丽施健
Owner CHANGSHU INSTITUTE OF TECHNOLOGY
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