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Cerebral apoplexy recurrence prediction model establishing method and device

A prediction model and stroke technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as inability to timely treatment and prevention, and inability to predict the recurrence of stroke patients.

Inactive Publication Date: 2017-10-20
BEIHANG UNIV
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  • Claims
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Problems solved by technology

[0006] In view of this, the purpose of the embodiments of the present invention is to provide a method and device for establishing a stroke recurrence prediction model to solve the problem in the prior art that the recurrence of stroke patients cannot be predicted, resulting in inability to treat and prevent it in time

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  • Cerebral apoplexy recurrence prediction model establishing method and device
  • Cerebral apoplexy recurrence prediction model establishing method and device
  • Cerebral apoplexy recurrence prediction model establishing method and device

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Embodiment 1

[0049] refer to figure 1 As shown, the embodiment of the present invention provides a method for establishing a stroke recurrence prediction model, the method includes steps S110-S130, specifically as follows:

[0050] S110. Obtain a pathological data set of each stroke patient among multiple stroke patients in multiple age groups, where the pathological data set includes multiple parameters associated with stroke recurrence and attribute values ​​corresponding to each parameter;

[0051]S120, from the pathological data set of each stroke patient, screen the parameters that are significantly related to the recurrence of stroke, and determine the parameters that are significantly related to the recurrence of stroke and the attribute value corresponding to each parameter as the pathology of each stroke patient data subset;

[0052] S130. Establish a first stroke recurrence prediction model according to the panel data corresponding to the pathological data subset.

[0053] In t...

Embodiment 2

[0160] refer to image 3 As shown, the embodiment of the present invention provides a device for establishing a stroke recurrence prediction model, which is used to implement the method provided in Embodiment 1 of the present invention, and the device includes an acquisition module 310, a screening module 320, and an establishment module 330, wherein ,

[0161] The acquisition module 310 is used to acquire the pathological data set of each stroke patient among multiple stroke patients in multiple age groups, the pathological data set includes various parameters associated with stroke recurrence and the corresponding parameters of each parameter. attribute value;

[0162] The above-mentioned screening module 320 is used to screen the parameters significantly related to stroke recurrence from the pathological data set of each stroke patient, and determine the parameters significantly related to stroke recurrence and the attribute value corresponding to each parameter as each A...

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Abstract

The invention provides a cerebral apoplexy recurrence prediction model establishing method and device. The method comprises the following steps of: obtaining a pathologic data set of each cerebral apoplexy patient in a plurality of cerebral apoplexy patients in a plurality of age groups; screening parameters remarkably associated with cerebral apoplexy recurrence from the pathologic data set of each cerebral apoplexy patient, and determining the parameters remarkably associated with the cerebral apoplexy reoccurrence and an attribute value corresponding to each parameter as pathologic data subsets of each cerebral apoplexy patient; and establishing a first cerebral apoplexy reoccurrence prediction model according to panel data corresponding to the pathologic data subsets. According to the method and device, the cerebral apoplexy reoccurrence prediction model can be established through the parameters of the cerebral apoplexy patients in a plurality of age groups, so that prediction can be carried out to judge whether cerebral apoplexy reoccurs to the patients or not, and then prevention and treatment can be carried out in advance.

Description

technical field [0001] The present invention relates to the technical field of health management and data processing, in particular to a method and device for establishing a stroke recurrence prediction model. Background technique [0002] Stroke is the third leading cause of death worldwide and the leading cause of adult disability. It is also one of the important causes of cognitive impairment and emotional impairment in the elderly. my country is a country with a high incidence of cerebrovascular diseases, and two-thirds of stroke patients die or leave disabilities of varying degrees, causing a huge economic burden to the country and families. [0003] Stroke not only has high morbidity, high mortality, and high disability rate, but also has a high recurrence rate. The mortality rate caused by stroke recurrence is much higher than the mortality rate of new stroke. [0004] In the prior art, it is often based on the clinical manifestations of the patient to determine whet...

Claims

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Application Information

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IPC IPC(8): G06F19/00
Inventor 常文兵李小涵周晟瀚
Owner BEIHANG UNIV
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