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Early-warning system and method for senile dementia

A technology of Alzheimer's disease and early warning system, applied in the field of artificial intelligence in medical process management

Inactive Publication Date: 2019-10-15
HARBIN MEDICAL UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although there is no effective treatment for senile dementia clinically, a large number of clinical studies have proved that its risk factors are closely related to aging, hypertension, myocardial infarction, atrial fibrillation, diabetes, hyperlipidemia, sleep status, depression, stroke, etc. relevant

Method used

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  • Early-warning system and method for senile dementia

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Embodiment 1

[0040] Embodiment 1: see figure 1, an early warning system for senile dementia in the present embodiment, including a data collection and processing module, a data classification processing analysis module, an early warning module, and a health management module; the data collection and processing module is used to obtain information related to the collection object Body parameter information, including the use of new wearable, mobile, portable, implantable, and remote health monitoring equipment and terminals, centered on families, communities, and units, to collect residents’ health information (daily basic physical indicators, signs, behaviors, Exercise, diet, sleep, spirit, psychology, society, etc.), collect genetic factors for clinical testing (amyloid precursor protein, presenilin 1 gene, presenilin 2 gene mutation detection and apolipoprotein E gene subtype detection, etc.), personal Basic factors (blood pressure, blood sugar, electrocardiogram, blood oxygen, body fat ...

Embodiment 2

[0046] Example 2: see figure 1 , a kind of early warning method for senile dementia of the present embodiment, the method is realized by relying on a kind of early warning system for senile dementia described in embodiment 1, concrete steps:

[0047] Step 1: Obtain body parameter information related to the subject to be collected, and perform data processing on the above information;

[0048] The second step: store the processed data, data indexing and engine, data deep learning, and conduct correlation analysis with health care big data and biomolecular big data;

[0049] Step 3: Construct the correlation analysis of cognitive function test scores and brain region functional status with daily habits and medical health testing data, and carry out early warning of disease occurrence based on risk factors and evaluation of efficacy before and after drug treatment. The specific early warning information is health Portrait, health and physical fitness evaluation, disease predicti...

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Abstract

The invention discloses an early-warning system and method for senile dementia, and belongs to the technical field of medical process management artificial intelligence. The invention solves the problem of how to quickly evaluate the influence of personal daily life and risk factors on the cognitive function and perform early warning. A data acquisition and processing module is used for acquiringbody parameter information related to an acquisition object and performing data processing on the information; a data classification processing and analysis module is used for carrying out storage, data indexing and engine and data deep learning on the processed data and carrying out correlation analysis on the processed data, health medical big data and biomolecular big data; and an early-warningmodule is used for constructing a cognitive function test score and correlation analysis of a brain area function state and daily life habits and medical health detection data, and carrying out riskfactor-based disease occurrence early warning and drug treatment-based curative effect evaluation before and after drug treatment. According to the invention, the influence of personal daily life andrisk factors on the cognitive function is rapidly evaluated, and the disease early warning is carried out.

Description

technical field [0001] The present invention relates to a disease early warning system and early warning method, in particular to an early warning system and early warning method for senile dementia, which provides correlation analysis of daily life habits and medical health detection data according to risk factor grading standards of data correlation analysis. Early warning of the functional status of brain regions and evaluation of treatment options. It belongs to the field of medical process management artificial intelligence technology. Background technique [0002] The sharp increase in the number of senile dementia caused by population aging is a major social problem facing the world. According to the statistics of "World Alzheimer Report 2018" in the United States, there were 46,800 dementia patients in the world in 2015, and it will reach 131 million by 2050. Currently, 1 patient is diagnosed with dementia every 3.2 seconds worldwide. In 2015, the global medical e...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/70G16H50/20G16H20/60G16H10/60G16H50/00G16B20/40
CPCG16B20/40G16H10/60G16H20/60G16H50/00G16H50/20G16H50/70
Inventor 艾静
Owner HARBIN MEDICAL UNIVERSITY
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