Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Cerebral apoplexy attack risk prediction system and device and storage medium

A technology for risk prediction and stroke, applied in diagnostic recording/measurement, medical science, diagnosis, etc., can solve problems such as premature prevention and control, inability to achieve accurate identification, and achieve the effect of improving accuracy and efficiency of diagnosis

Pending Publication Date: 2021-06-29
吾征智能技术(北京)有限公司
View PDF5 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in the current existing technology, risk prediction is only performed unilaterally from clinical symptoms, which leads to the inability to achieve the goal of accurate identification and early prevention and treatment

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Cerebral apoplexy attack risk prediction system and device and storage medium
  • Cerebral apoplexy attack risk prediction system and device and storage medium
  • Cerebral apoplexy attack risk prediction system and device and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0032] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the implementation manners in the present invention, all other implementation manners obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of the present invention.

[0033] see figure 1 , the present invention proposes a stroke risk prediction system, the system includes: a data collection unit 10, a preprocessing unit 20, a feature screening unit 30, a model building unit 40, and a model prediction unit 50;

[0034] The data collection unit 10 is used to collect health data information of the target population and perform desensitization processing;

[0035] The health data information of the target populatio...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a cerebral apoplexy attack risk prediction system. The system comprises a data acquisition unit, a preprocessing unit, a feature screening unit, a model establishing unit and a model prediction unit, wherein the data acquisition unit is used for acquiring health data information of a target crowd and performing desensitization processing; the preprocessing unit is used for performing standardized processing on basic data information of the target crowd and marking a cerebral apoplexy risk category; the feature screening unit is used for screening cerebral apoplexy feature data based on an IV value analysis method to obtain feature data with relatively high model prediction value, and forming a data set; the model establishing unit is used for training data by utilizing an Adaboost enhanced learning method based on logistic regression and establishing a fusion model; and the model prediction unit is used for predicting to-be-tested sample data through the fusion model to obtain the cerebral apoplexy risk category. According to the system, accurate analysis of the cerebral apoplexy risk category is realized based on the health data information of the target crowd, so that the attack risk prediction efficiency can be improved.

Description

technical field [0001] The invention belongs to the technical field of health management, and in particular relates to a stroke risk prediction system, equipment and a storage medium. Background technique [0002] "Cerebral stroke", also known as "stroke", is an acute cerebrovascular disease that seriously threatens human life and health. Stroke is often characterized by high morbidity, high mortality, and high disability rate. Especially for the elderly, it will cause serious death or leave different degrees of disability, which is extremely troublesome for patients and their families. [0003] At present, the medical community believes that the prevention of stroke is the best preventive measure. However, in the current existing technology, risk prediction is only performed unilaterally from clinical symptoms, which leads to the inability to achieve the goal of accurate identification and early prevention and treatment. The use of a stroke risk prediction model can be us...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): A61B5/00
CPCA61B5/7267Y02A90/10
Inventor 李宗博杜冰洋陈伯怀
Owner 吾征智能技术(北京)有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products