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Lamination estimate method for cardiovascular danger of hyperpietic based artificial nervous network

An artificial neural network and cardiovascular technology, applied in the field of cardiovascular risk stratification assessment for hypertensive patients, can solve the problems of low mastery of risk stratification and influence on clinical decision-making, and achieve the elimination of subjective uncertainty, cost saving, Easy to implement effects

Inactive Publication Date: 2006-04-12
ZHEJIANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in clinical practice, due to the limitations of their own level, being too subjective and relying on the patient's statement, clinicians in my country have a low degree of mastery of risk stratification, which affects the subsequent clinical decision-making effect

Method used

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  • Lamination estimate method for cardiovascular danger of hyperpietic based artificial nervous network
  • Lamination estimate method for cardiovascular danger of hyperpietic based artificial nervous network
  • Lamination estimate method for cardiovascular danger of hyperpietic based artificial nervous network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0044] The systolic blood pressure of a hypertensive patient was 174, the diastolic blood pressure was 91, the body mass index was 21.78, the ejection time was 0.3662, the stroke volume was 54.33, the cardiac output was 4.167, the vascular sclerosis index was 33.93, the pulse wave velocity was 3.280, and the systemic vascular resistance index was 3345. , the left heart work index is 4.489 and ten parameters (units are abbreviated) are input into the computer; the risk stratification result calculated by using the neural network equation is 4.0038, corresponding to 4 layers.

[0045] The hypertensive patient reported many uncomfortable symptoms and did not receive drug treatment. Judging from Table 1, the standard risk stratification also belongs to 4 levels, which is high or severe risk.

Embodiment 2

[0047] The systolic blood pressure of a hypertensive patient was 109, the diastolic blood pressure was 73.5, the body mass index was 21.01, the ejection time was 0.3092, the stroke volume was 53.33, the cardiac output was 3.533, the vascular sclerosis index was 29.88, the pulse wave velocity was 3.329, and the systemic vascular resistance index was 3403 , left heart work index 2.611 and ten parameters (units are omitted) were input into the computer; the risk stratification result calculated by the neural network equation was 0.9964, corresponding to layer 1.

[0048] The hypertensive patient reported a light diet, active treatment, and regular exercise. Judging from Table 1, the standard risk stratification also belongs to level 1, which is no or general risk.

[0049] figure 1 Shown are the results obtained by the evaluation of 87 hypertensive patients using the present invention, the horizontal axis in the figure is the risk stratification obtained according to Table 1, the...

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Abstract

A method for evaluating the cardiovascular damage degree of hypertension patient on the basis of artificial nerve network features that after 10 parameters including systolic pressure, diastolic pressure, body weight index, ejection period, pulse output, cardiac output, etc are input, the cardiovascular damage degree can be calculated out by use of the nerve network equation Y=f2 (W2f1(W1x+B1)+B2). Its advantage is high correctness.

Description

technical field [0001] The invention relates to an artificial neural network-based cardiovascular risk stratification assessment method for hypertensive patients. Background technique [0002] The absolute level stratification of cardiovascular risk (hereinafter referred to as risk stratification) is an internationally accepted characteristic parameter of cardiovascular status. "Guidelines for the Prevention and Treatment of Hypertension in China", "1999 WHO / ISH Guidelines for the Treatment of Hypertension" (hereinafter referred to as WHO99), "European Guidelines for the Treatment of Hypertension 2003" (hereinafter referred to as "European 2003"), the United States National Association for the Prevention, Detection, Evaluation and Treatment of Hypertension The committee's sixth and seventh reports (hereinafter referred to as JNC6, JNC7) and other standards have promulgated the calculation method of risk stratification. However, in clinical practice, due to the limitations o...

Claims

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Application Information

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IPC IPC(8): A61B5/00G06T1/40G06F17/00G06Q50/00G06Q50/22
Inventor 宁钢民苏杰杜娟李晨虹代开勇白岩郑筱祥
Owner ZHEJIANG UNIV
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