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Method and device for generating intracranial aneurysm state prediction model and storage medium

A technology of intracranial aneurysm and prediction model, which is applied in the computer field, can solve the problems of difficult acquisition of hemodynamic parameters and low universality of the model, and achieve the effect of low cost, strong practicability, and high universality

Pending Publication Date: 2021-12-10
NEUSOFT MEDICAL SYST CO LTD
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Problems solved by technology

[0003] In the prior art, hemodynamic parameters are used to train the risk prediction model of intracranial aneurysm rupture, but the hemodynamic parameters are difficult to obtain, and the universality of the model is not high

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  • Method and device for generating intracranial aneurysm state prediction model and storage medium
  • Method and device for generating intracranial aneurysm state prediction model and storage medium
  • Method and device for generating intracranial aneurysm state prediction model and storage medium

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Embodiment Construction

[0066] Hereinafter, the present application will be described in detail with reference to the drawings and embodiments. It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other.

[0067] In this embodiment, a method for generating an intracranial aneurysm state prediction model is provided, such as figure 1 As shown, the method includes:

[0068] Step 101, acquire sample data of the target group, wherein the sample data includes baseline data corresponding to multiple baseline data items, intracranial aneurysm morphological parameters corresponding to multiple intracranial aneurysm morphology items, and intracranial aneurysm broken state;

[0069] In the embodiment of the present application, firstly, relevant clinical baseline data of patients with intracranial aneurysm, that is, the baseline data of the target group, are collected. The baseline data includes the clini...

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Abstract

The invention discloses an intracranial aneurysm state prediction model generation method and device, a storage medium and computer equipment; the method comprises the steps: obtaining sample data of a target group, the sample data comprising baseline data, intracranial aneurysm morphological parameters and an intracranial aneurysm rupture state; taking the rupture state of the intracranial aneurysm as an outcome variable, and performing significance analysis on the baseline data item and the intracranial aneurysm morphological item according to the baseline data and the intracranial aneurysm morphological parameters, obtaining a target item with the significance level meeting a preset significance condition in the baseline data item and the intracranial aneurysm morphological item; and constructing an initial prediction model according to the target item, and training the initial prediction model by taking a target parameter corresponding to the target item and the intracranial aneurysm rupture state as model training samples to obtain the intracranial aneurysm state prediction model.

Description

technical field [0001] The present application relates to the field of computer technology, and in particular to a method and device, storage medium, and computer equipment for generating an intracranial aneurysm state prediction model. Background technique [0002] Unruptured intracranial aneurysms (UIAs, unruptured intracranial aneurysms) exist in 3% of adults. With the rapid development of non-invasive vascular neuroimaging techniques, UIAs are more and more discovered. Rupture of UIAs will lead to subarachnoid hemorrhage (SAH) and increase the mortality of patients. There are many small aneurysms (sUIAs) (maximum diameter ≤ 5 mm) in UIAs, and most SAH cases are caused by the rupture of small aneurysms. Predicting the rupture risk of sUIAs in patients can help doctors make clinical decisions as soon as possible. [0003] In the prior art, hemodynamic parameters are used to train the risk prediction model of intracranial aneurysm rupture, but the hemodynamic parameters ar...

Claims

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Application Information

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IPC IPC(8): G16H50/30G06K9/62
CPCG16H50/30G06F18/24G06F18/214
Inventor 聂可卉
Owner NEUSOFT MEDICAL SYST CO LTD
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