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Aneurysm rupture state prediction method and device

A prediction method, an aneurysm technology, applied in the field of machine learning to achieve accurate prediction results

Inactive Publication Date: 2020-01-17
BEIJING SHENRUI BOLIAN TECH CO LTD +1
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Problems solved by technology

[0004] In order to solve the existing process of predicting the rupture state of aneurysm, due to too many variables to be considered, the traditional prediction method is not enough to deal with such complex problems, the present invention provides a method and device for predicting the rupture state of aneurysm

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  • Aneurysm rupture state prediction method and device
  • Aneurysm rupture state prediction method and device

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Embodiment Construction

[0037] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0038] With the availability of CT angiography and magnetic resonance angiography, more unruptured aneurysms have been detected. Although the majority of detected aneurysms are small and asymptomatic, there is evidence that these small aneurysms also have a high risk of rupture and can be fatal. Therefore, predicting the status of aneurysm rupture has high clinical significance. To this end, an embodiment of the present invention provides a method for predict...

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Abstract

The invention provides an aneurysm rupture state prediction method and device. The method comprises the steps of: receiving original sample data; preprocessing the original sample data to obtain processed data, and establishing a training set model; and training the machine learning model of each aneurysm rupture state by using the training set model to obtain the prediction result of the aneurysmrupture state. According to the aneurysm rupture state prediction method and device, the method for jointly predict the arterial aneurysm rupture by combining clinical information, morphological information and hemodynamic information can better utilize the known data and is more accurate in prediction result compared to a traditional method.

Description

technical field [0001] The present invention relates to the field of machine learning, in particular to a method and device for predicting an aneurysm rupture state. Background technique [0002] Unruptured aneurysms have a higher incidence in adults, and with the popularity of CT angiography and magnetic resonance angiography, more unruptured aneurysms have been detected. Although the majority of detected aneurysms are small and asymptomatic, there is evidence that these small aneurysms also have a high risk of rupture and can be fatal. Therefore, predicting the rupture status of aneurysms has high clinical significance. [0003] But at the same time, in the process of predicting the rupture status of aneurysms, dozens of variables and the impact of their interactions on the results need to be considered at the same time. Traditional methods are no longer sufficient to deal with such complex problems. Contents of the invention [0004] In order to solve the existing pro...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/20G16H50/70G06N3/08
CPCG16H50/20G16H50/70G06N3/08
Inventor 岳杨明李秀丽卢光明张龙江俞益洲
Owner BEIJING SHENRUI BOLIAN TECH CO LTD
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