Multi-dimension cerebral stroke prevention screening method based on artificial intelligence

An artificial intelligence and stroke technology, applied in the database field, can solve problems such as errors, lack of data information, and not particularly ideal, and achieve the effect of reducing social burden, high evaluation accuracy, and good result reliability.

Active Publication Date: 2020-07-17
浙江达美生物技术有限公司
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  • 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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  • Multi-dimension cerebral stroke prevention screening method based on artificial intelligence
  • Multi-dimension cerebral stroke prevention screening method based on artificial intelligence
  • Multi-dimension cerebral stroke prevention screening method based on artificial intelligence

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0075] Example 1: Stroke case database establishment process

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

[0077] The first aspect included in the system is the data of clinical consultations of doctors, including: history of stroke, family history of stroke, atrial fibrillation or valvular heart disease, age, diabetes, blood lipids, blood pressure, physical exercise, BMI, and smoking and alcohol consumption. 10 items. The doctor's clinical consultation data is mainly through the doctor's inquiries to the screening subjects. According to the descriptions of the above 10 stroke-related qualitative indicators by the screening subjects, the results are recorded as "Yes" or "No". Doctors input stroke-related data, input reports, and output terminal equipment. The terminal equipment establishes a connection with the clou...

Embodiment 2

[0082] Example 2: The process of establishing an artificial intelligence algorithm model for stroke prevention and screening

[0083] like figure 2 As shown in the figure, the sample data also includes qualitative data of doctor's clinical consultation data and quantitative data of stroke biomarker results and daily monitoring indicators. Quantitative results are calculated by inputting the original data values ​​as model eigenvalues ​​into the model. According to the sample eigenvalues ​​may contain nonlinear factors, therefore, comparing algorithms such as random forests, support vector machines, and deep neural networks, Softmax is used in the output layer, and Dropout is used to avoid model overfitting. Using Cross Validation and Confusion Matrix as result evaluation methods and calculating precision, recall and F value, a deep neural network using multi-layer neural network and ADAM optimization algorithm is established.

[0084] The Wide&Deep model combines the shallo...

Embodiment 3

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

[0087] like image 3 As shown, the doctor's clinical consultation 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 based on the artificial intelligence algorithm model of stroke prevention and screening, the intelligent stroke prevention screening system report is finally presented, including: doctor's clinical consultation data, blood biochemical biomarkers, daily monitoring indicators, etc. The specific situation of the three dimensions, the risk factor, the interpretation of the results, the processing opinions and other information.

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Abstract

The invention provides a multi-dimension cerebral stroke prevention screening method based on artificial intelligence. The method includes: S1, transmitting the collected three dimensional data of cerebral stroke to a cloud computing service platform through network to establish a cerebral stroke case database; S2, according to the established cerebral stroke case database, constructing a cerebralstroke prevention screening AI algorithm model, according to the actual incidence status of the cerebral stroke cases, verifying the cerebral stroke prevention screening AI algorithm model; S3, inputting the related data in the three dimensional data of cerebral stroke into a report output device, and according to the prevention screening AI algorithm model, outputting the cerebral stroke prevention screening report. By means of the method, risk control can be carried out on the cerebral stroke prevention screening objects and doctors, thus achieving whole-life-period management on the cerebral stroke prevention. The method has the advantages of preventing future possible risk, reducing the incidence rate of the cerebral stroke and relieving social burden.

Description

technical field [0001] The invention relates to a database stored in a cloud platform, a stroke prevention screening program software and a stroke prevention screening hardware device, which belong to the application of interdisciplinary related technologies in the three fields of artificial intelligence, big data and biomedicine, and in particular to a An artificial intelligence-based multi-dimensional stroke prevention screening system. Background technique [0002] As an acute cerebrovascular disease, the main clinical symptoms of stroke are cerebral ischemia and hemorrhagic injury, which are manifested as high morbidity, high disability rate, high mortality and high recurrence rate. As an irreversible, complex, and progressive 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, evaluate the treatment effect,...

Claims

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Application Information

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Patent Type & Authority Applications(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
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