Cerebral stroke risk prediction method and device

A risk prediction and stroke technology, applied in the field of smart medical care and medical health, can solve problems such as limiting the universality of prediction models, fixed model trigger conditions, unfavorable user health management, etc., and achieve the effect of promoting individualized health management

Pending Publication Date: 2022-04-12
北京富通东方科技有限公司
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The current risk prediction model has a long prediction period for the future incidence of stroke (mostly 10 years), and less consideration is given to risk factors such as diet, exercise, and psychology that affect the incidence of stroke, which is not conducive to guiding users' health management; the triggering of the model The conditions are relatively fixed, and the requirements for the indicator data provided by the user are relatively strict, which limits the universality of the forecasting model

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 stroke risk prediction method and device
  • Cerebral stroke risk prediction method and device
  • Cerebral stroke risk prediction method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0051] Please refer to figure 1 , the embodiment of the present application provides a stroke risk prediction method, including:

[0052] S101: According to the risk assessment index system, classify and collect data information of target users;

[0053] S102: Standardize the data information of the target user;

[0054] S103: Based on the stroke history and age of the target user, determine whether the stroke risk prediction for the target user can be started, and if so, select an adapted risk prediction model according to the data information of the target user;

[0055] S104: Based on the standardized processed data information of the target user and the adapted risk prediction model, perform risk score calculation to obtain the target user risk score;

[0056] S105: Compare the risk score of the target user with a risk classification threshold to obtain the risk level of the target user.

[0057] The stroke risk prediction method adopted in the present invention can be...

Embodiment 2

[0102] Please refer to figure 2 Based on the method of the first embodiment above, the present invention also provides a stroke risk prediction device, including:

[0103] The data collection module is used to classify and collect data information of target users according to the risk assessment index system;

[0104] A data processing module, configured to standardize the data information of the target user;

[0105] A model selection module, configured to judge whether the stroke risk prediction for the target user can be started based on the stroke history and age of the target user, and if so, select an adapted risk prediction model according to the data information of the target user ;

[0106] A calculation module, configured to calculate a risk score based on the standardized processed data information of the target user and the adapted risk prediction model to obtain a target user risk score;

[0107] A grading module, configured to compare the target user's risk s...

Embodiment 3

[0110] Using the methods and devices of the aforementioned embodiments, the data information of the sample population queue provided by the cooperation unit is collected through target user information, data standardization processing, prediction and adaptation model selection, and finally completes risk prediction and risk classification.

[0111] After the data information of the target user enters the stroke risk prediction system of this patent through the target user information collection module, it is transmitted to the data standardization processing module;

[0112] The data standardization processing module converts the target user's data information into a level corresponding to the risk assessment indicators in the risk assessment indicator system, that is, the target assessment parameters, and transmits it to the prediction and adaptation model selection module. For example, in the data information of the target user, "smoking about 10 cigarettes per week" is conve...

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 risk prediction method, which comprises the steps of collecting data information of a target user in a classified manner according to a risk assessment index system, and selecting an adaptive risk prediction model according to the data information of the target user; performing risk score calculation based on the standardized data information of the target user and the adaptive risk prediction model to obtain a risk score of the target user; and comparing the risk score of the target user with a risk grading threshold to obtain a risk grade of the target user. By adopting the method and the device in the technical scheme, early stroke risk screening can be efficiently and conveniently carried out on target people, and individualized health management is promoted.

Description

technical field [0001] The present invention relates to the technical fields of smart medical treatment and medical health, in particular to a stroke risk prediction method and device. Background technique [0002] According to statistics, in the past 20 years, the total number of morbidity, mortality and disability-adjusted life years caused by stroke has increased steadily. By 2019, there will be a total of 101 million stroke cases worldwide, resulting in 6.55 million deaths and 143 million disability-adjusted life years (DALYs) globally due to stroke. Studies have shown that the burden of disease is growing explosively. And it shows the rapid growth of low-income groups, obvious gender and geographical differences, and a younger trend [2] . [0003] Since 2011, the screening and intervention programs for stroke high-risk groups have been incorporated into major national public health service programs. As the first person responsible for one's own health, how to identif...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/30G16H50/50
Inventor 王欣梅李瑞瑞赵伟曹贤文冯鹏飞李爽
Owner 北京富通东方科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap