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Multidimensional stroke prevention screening method based on artificial intelligence

An artificial intelligence and stroke technology, applied in the database field, can solve problems such as not being particularly ideal, biochemical indicators difficult to reflect disease progression, and low specificity.

Active Publication Date: 2021-04-16
浙江达美生物技术有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although the research on these biochemical indicators has made preliminary progress, they are not particularly ideal in the clinical application process. Although a single biochemical indicator can generally become an independent risk factor or progression indicator for stroke pathogenesis or post-morbidity, it is specific. Not strong, there is a big error
Due to the complex pathogenic factors of stroke, it is difficult for biochemical indicators alone to reflect the progress of the disease
[0006] At present, the risk assessment widely used in clinical practice is mainly the Framingham Stroke Risk Assessment Scale. However, due to its high convenience and less data information of the collected objects, this assessment method is very important for the screening ability of stroke prevention. limited

Method used

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  • Multidimensional stroke prevention screening method based on artificial intelligence
  • Multidimensional stroke prevention screening method based on artificial intelligence
  • Multidimensional stroke prevention screening method based on artificial intelligence

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0075] Example 1: Process for establishing a database of stroke cases

[0076] Such as figure 1 Shown: The artificial intelligence multi-dimensional stroke prevention screening system uses the data of the three dimensions of stroke as the main data for database construction.

[0077] The first aspect included in the system is the doctor’s clinical consultation data, including: medical history of stroke, family history of stroke, atrial fibrillation or valvular heart disease, age, diabetes, blood lipid, blood pressure, physical exercise, BMI, smoking and alcohol abuse, etc. 10 items. The doctor’s clinical consultation data is mainly through the doctor’s interview with the screening subjects. According to the description of the above 10 stroke-related qualitative indicators by the screening subjects, the results are recorded as “yes” and “no”. The doctor inputs stroke-related data into the report and outputs the terminal device. The terminal device establishes a connection wit...

Embodiment 2

[0082] Example 2: Artificial intelligence algorithm model establishment process for stroke prevention screening

[0083] Such as figure 2 As shown, the sample data includes both qualitative data of doctors’ clinical consultation data and quantitative data of stroke biomarker results and daily monitoring indicators. The qualitative results in the sample data are 0 for “no” and 1 for “yes”. Quantitative results are calculated by inputting the original value of the data into the model as the eigenvalue of the model. According to the sample feature value may contain non-linear factors, so compare random forest, support vector machine, deep neural network and other algorithms, use Softmax through the output layer, and use Dropout to avoid model overfitting. Using Cross Validation method and Confusion Matrix as the result evaluation method and calculating accuracy rate, recall rate and F value, a deep neural network using multi-layer neural network and ADAM optimization algorithm ...

Embodiment 3

[0086] Example 3: Stroke-related data input report output device terminal device result output process

[0087] Such as image 3 As shown, the doctor’s clinical inquiry data is input, the screening object provides their own blood, and the automatic biochemical analyzer part of the terminal equipment performs 16 blood biochemical biomarker detection and analysis to obtain quantitative blood biochemical results, which are connected to the cloud service platform and combined with The daily monitoring indicators of the screening object, and according to the stroke prevention screening artificial intelligence algorithm model, finally present the report of the intelligent stroke prevention screening system, including: doctor's clinical consultation data, blood biochemical biomarkers, daily monitoring indicators, etc. The specific situation of the three dimensions, risk coefficient, result interpretation, processing opinions and other information.

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Abstract

The present invention provides an artificial intelligence-based multi-dimensional stroke prevention screening method, which includes the following steps: S1: transmit the collected three-dimensional stroke data to a cloud computing service platform through the network, and establish a stroke case database ; S2: According to the stroke case database established in step S1, establish an artificial intelligence algorithm model for stroke prevention and screening, and verify the artificial intelligence algorithm model for stroke prevention and screening according to the actual incidence of stroke cases; The large-dimensional data is input into the stroke-related data input and output device, and the stroke prevention screening report is output according to the artificial intelligence algorithm model of the prevention screening. The method provided by the present invention can help stroke prevention screening subjects and doctors to manage and control the risk of stroke, and realize the whole life cycle management of stroke prevention, which is beneficial to prevent before it happens, reduce the incidence of stroke, and reduce the social burden.

Description

technical field [0001] The invention relates to a database stored on a cloud platform, a stroke prevention screening program software and a stroke prevention screening hardware device, and belongs to the application of interdisciplinary related technologies in the three major fields of artificial intelligence, big data, and biomedicine, and especially relates to a A multi-dimensional stroke prevention screening system based on artificial intelligence. Background technique [0002] Stroke is an acute cerebrovascular disease, and its main clinical manifestations are cerebral tissue ischemia and hemorrhagic injury, specifically manifested as high morbidity, high disability, high mortality and high recurrence rate. As an irreversible, complex, and gradual disease process, there is no specific gold standard for stroke, and it is very harmful to families and society. Stroke screening through the stroke prevention screening analysis system can effectively prevent stroke and evalua...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G16H50/30G16H50/70G16H15/00G06N3/04G06N3/08
CPCG16H50/30G16H50/70G16H15/00G06N3/08G06N3/045
Inventor 方朝君李光星金立方郑江萍王涛
Owner 浙江达美生物技术有限公司