Heart health quality early warning system and early warning method thereof

An early warning system and heart technology, applied in health index calculation, medical data mining, medical informatics, etc., can solve problems such as lack of clinical application systems and methods, reduce the incidence of cardiac events and fatality rate, and improve accuracy. , the effect of reducing risk

Pending Publication Date: 2020-09-25
AFFILIATED HOSPITAL OF NANTONG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, using these indicators to predict the risk of SCD in patients after myocardial infarction and identify high-risk groups has not been widel

Method used

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  • Heart health quality early warning system and early warning method thereof
  • Heart health quality early warning system and early warning method thereof
  • Heart health quality early warning system and early warning method thereof

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0037] Such as Figure 1-2 A heart health quality early warning system shown includes:

[0038] The data acquisition module, specifically the data acquisition module based on the hospital database and the intelligent system, is used to obtain data information related to the user's physical health from the system database, and complete the heart part data according to the weight part of the heart information in the data information flow. access to information;

[0039]The big data simulation module, specifically the big data calculation module based on the Storm framework, is used to establish the user's heart quality index model based on the obtained user's heart data, and set a health simulation value, through the user's pathological characteristics, medical records, induced SCD The proportional weight of the high-risk factors and physical state of the disease, and the difference formula for obtaining the user's heart data;

[0040] The output module is used to output the c...

Embodiment 2

[0055] On the basis of the above embodiments, the calculation method of the difference factor is the pathological illness time represented by the weight;

[0056] Specifically: For example, the weight involved in detecting the user's physical health data information flow includes coronary heart disease and cardiomyopathy with heart failure;

[0057] The way to obtain the difference factor of coronary heart disease is: by querying the time of the first coronary heart disease of the user, the duration m of the user's coronary heart disease is obtained, and the average life expectancy of patients with coronary heart disease in the patient's age group is recorded as n, and the calculation The obtained value is denoted as β, and the weight β of β in the detected user’s heart information flow is obtained ω

[0058] The way to obtain the difference factor of cardiomyopathy with heart failure is as follows: by querying the time of the user's first onset of cardiomyopathy with heart ...

Embodiment 3

[0065] On the basis of the above embodiments, the calculation method of the difference factor is the pathological illness time represented by the weight;

[0066] Specifically: For example, the weight involved in detecting the user's physical health data information flow includes coronary heart disease, cardiomyopathy with heart failure, and low LVEF;

[0067] The way to obtain the difference factor of coronary heart disease is: by querying the time of the first coronary heart disease of the user, the duration m of the user's coronary heart disease is obtained, and the average life expectancy of patients with coronary heart disease in the patient's age group is recorded as n, and the calculation The obtained value is denoted as β, and the weight β of β in the detected user’s heart information flow is obtained ω The way to obtain the difference factor of cardiomyopathy with heart failure is as follows: by querying the time of the user's first onset of cardiomyopathy with heart...

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Abstract

The invention discloses a heart health quality early warning system and an early warning method thereof, and specifically relates to the technical field of heart health early warning. The system comprises: a data acquisition module which is specifically a data acquisition module based on a hospital database and an intelligent system and is used for acquiring data information related to the body health of a user from the database of the system and completing acquisition of data information of a heart part according to a heart information weight part in a data information flow; and a big data simulation module which is specifically a big data operation module based on a Storm framework and is used for establishing a heart quality index model of the user according to the acquired heart data of the user. According to the method, the heart quality of healthy and sub-healthy individuals and heart disease individuals can be analyzed and predicted, heart quality events can be found as soon aspossible, preventive measures are put forward, and therefore the risk of the heart events is reduced.

Description

technical field [0001] The invention relates to the technical field of heart health early warning, and more specifically, the invention relates to a heart health quality early warning system and an early warning method thereof. Background technique [0002] The heart is one of the most important organs in the body of vertebrates. Its main function is to provide power for blood flow and transport blood to all parts of the body. The human heart is located at the lower left of the middle of the chest cavity, about the size of a fist, and weighs about 250 grams. [0003] Sudden cardiac death refers to natural death from cardiac causes that occurs within 1 hour after the onset of acute symptoms and is characterized by sudden loss of consciousness. Sudden death was defined by the International Society of Cardiology, the American Heart Association in 1979, and the World Health Organization in 1970 as: accidental death that occurs immediately or within 24 hours after the onset of a...

Claims

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Application Information

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IPC IPC(8): G16H50/30G16H50/70
CPCG16H50/30G16H50/70
Inventor 张健刘晓燕孙雪梅
Owner AFFILIATED HOSPITAL OF NANTONG UNIV
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