Stroke risk screening system and method

Abstract

The invention relates to the technical field of medical auxiliary systems, in particular to a stroke risk screening system and method. The method comprises the following steps: S1, a data processing step: acquiring and processing existing stroke medical data; S2, a model construction step: with the stroke medical data output in the S1 as a training set, performing iterative learning and training by using a risk prediction model constructed on the basis of an RBF neural network to obtain a prediction model; S3, a prediction step: collecting user data to be predicted, calling the prediction model, generating a prediction result and storing high-risk patient data to a medical data platform; and S4, a display step: displaying the prediction result in a visual form. According to the stroke riskscreening system and method provided by the invention, intelligent screening of patients with high risk of stroke can be realized, the accuracy and efficiency of diagnosis and treatment are improved,and intervention and examination recommendation in advance are facilitated. Meanwhile, screening and warehousing storage of high-risk groups can be achieved, digital management is facilitated, and early discovery, early warehousing, early management and the like are achieved.

Description

technical field [0001] The invention relates to the technical field of medical assistance systems, in particular to a stroke risk screening system and method. Background technique [0002] The current incidence of stroke in my country is about 151.91 / 100,000, and ischemic stroke in my country is still growing at a rate of 8.7% per year. The guidelines for the primary prevention of cerebrovascular diseases in China point out that stroke has become the single disease causing death and the highest disability rate. The experience of stroke prevention and control in various countries in the world shows that 80% of strokes can be avoided by taking effective management measures targeting stroke risk factors. Therefore, the best way to reduce the economic burden of stroke is prevention. Have high blood pressure, diabetes, atrial fibrillation or valvular heart disease, smoking, dyslipidemia, rarely do sports, overweight or obesity, family history of stroke with three or more risk f...

AI Technical Summary

Problems solved by technology

[0003] Because stroke is a disease with multiple risk factors, there are differences in risk factors among individuals, and the required interventions are also different. It is not accurate enough to evaluate only the presence of any three risk factors in the above-mentioned screened population, and it cannot achieve the goal of high-risk stroke population. Individualized management

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