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Recurrence prediction model for coronary artery disease after interventional surgery and modeling method and device thereof

A technology of predictive models and modeling methods, applied in the medical field of coronary heart disease, can solve problems such as lack of solutions

Active Publication Date: 2019-02-15
山东管理学院
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  • Abstract
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  • Claims
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Problems solved by technology

[0008] To sum up, in the existing technology, how to combine the inspection system and data mining technology to establish a recurrence prediction model for patients after coronary heart disease intervention, and how to form a complete prediction framework through an effective modeling method, There is still no effective solution

Method used

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  • Recurrence prediction model for coronary artery disease after interventional surgery and modeling method and device thereof
  • Recurrence prediction model for coronary artery disease after interventional surgery and modeling method and device thereof

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Embodiment 1

[0063] The purpose of this embodiment 1 is to provide a modeling method of a recurrence prediction model after interventional coronary heart disease based on the multiple inspection system.

[0064] In order to achieve the above object, the present invention adopts the following technical scheme:

[0065] Such as figure 1 as shown,

[0066] A method for modeling a recurrence prediction model after interventional coronary heart disease based on a multivariate inspection system, the method comprising:

[0067] Step (1): Receive the patient data set, the patient data includes attribute data, inspection data and inspection data of postoperative recurrence patients, the inspection data includes detailed data and comprehensive data, and the detailed data includes eye data , ear data, tongue data and hand data, the comprehensive data includes the overall data of the patient's face;

[0068] Step (2): Perform data processing on the patient data set, classify and quantify the inspec...

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Abstract

The invention discloses a recurrence prediction model for coronary artery disease after interventional surgery and a modeling method and device thereof. The method includes the following steps: receiving a patient data set; processing the data of the patient data set, classifies and quantifies inspection diagnosis data according to the degree of severity, classifies and quantifies character type attribute data, and standardizes numerical examination data; judging whether there is difference in data attributes in the patient data set by means of statistical hypothesis test according to the processed data; and calculating the importance indexes of data attributes with difference, sorting the data attributes, and screening and adding the attributes with high importance to a recurrence prediction model; setting the network parameters of a neural network, taking the processed patient data set as a sample, using the neural network to train the sample, and building a recurrence prediction model.

Description

technical field [0001] The disclosure belongs to the technical field of coronary heart disease medical treatment, and relates to a recurrence prediction model for coronary heart disease interventional surgery and its modeling method and device, in particular to a recurrence prediction model for coronary heart disease interventional surgery based on a multi-dimensional inspection system and its construction. Modeling method and device. Background technique [0002] The statements in this section merely provide background information related to the present disclosure and do not necessarily constitute prior art. [0003] Coronary heart disease refers to a heart disease in which severe atherosclerosis and / or thrombosis in the coronary arteries supplying the heart cause stenosis or blockage of the lumen, resulting in insufficient coronary blood supply, myocardial ischemia or myocardial necrosis. It is a serious hazard Common and frequently-occurring diseases of human health. In...

Claims

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Application Information

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IPC IPC(8): G16H50/50G16H50/70
CPCG16H50/50G16H50/70
Inventor 陈阳陈守强袁锋
Owner 山东管理学院
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