Cerebral stroke predicted value acquisition method and device, and storage medium

An acquisition method and stroke technology, applied in the field of machine learning, can solve problems such as complex ASPECTS scoring operations and low precision

Pending Publication Date: 2021-12-17
昆明同心医联科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] The embodiment of the present invention provides a stroke prediction value acquisition method, devic...

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  • Cerebral stroke predicted value acquisition method and device, and storage medium
  • Cerebral stroke predicted value acquisition method and device, and storage medium
  • Cerebral stroke predicted value acquisition method and device, and storage medium

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Embodiment Construction

[0052]In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is only some embodiments of the present invention, but not all embodiments. 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.

[0053] The terms "first", "second", "third", "fourth", etc. (if any) in the description and claims of the present invention and the above drawings are used to distinguish similar objects and not necessarily Describe a specific order or sequence. It is to be understood that the data so used are interchangeable under appropriate circumstances s...

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Abstract

The invention provides a cerebral stroke predicted value acquisition method and device, and a storage medium. The cerebral stroke predicted value acquisition method comprises the following steps that a plurality of evaluation areas are divided from a plain-scan computed tomography image obtained through brain scanning; texture features are extracted by aiming at each evaluation area, and a texture feature sample set is obtained; the texture feature sample set is trained, and a training result is subjected to quintuple cross validation in a training process; and on the basis of a trained random forest model, a predicted value of a cerebral stroke disease risk can be calculated. According to the technical scheme provided by the invention, the cerebral stroke can be automatically evaluated and pre-judged by using feature engineering and a random forest technology, and the ASPECTS score can be accurately and reliably determined.

Description

technical field [0001] The present application relates to the field of machine learning, in particular, to a method, device and storage medium for acquiring a stroke prediction value. Background technique [0002] In 2010, approximately 17 million people worldwide suffered from a stroke, and 330 million people had a stroke and were still alive. In 2013, stroke was the second most common cause of death in the world, second only to coronary artery disease (Coronary Artery Disease), accounting for about 12% of the total number of deaths, of which about 3.3 million people died of ischemic stroke. In my country, the situation is more and more serious. Stroke is the first cause of death and disability among adults in our country. At least 1 out of every 5 deaths is caused by stroke. With the aging of the society and the acceleration of urbanization, the unhealthy lifestyle of residents is popular, and the risk factors of cardiovascular disease are generally exposed. The disease b...

Claims

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Application Information

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IPC IPC(8): A61B6/03G06T7/00G06T7/11G06T5/20G06K9/62G16H50/30
CPCA61B6/032A61B6/5211A61B6/5205A61B6/501A61B6/504G06T7/0012G06T7/11G06T5/20G16H50/30G06T2207/10081G06T2207/20032G06T2207/20081G06T2207/30016G06F18/24323G06F18/214
Inventor 马学升刘伟奇
Owner 昆明同心医联科技有限公司
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