Hypertension patient cardiovascular danger layered evaluation method based on intelligent decision support

Abstract

The invention belongs to the field of hypertension patient cardiovascular danger layered evaluation technology, and discloses a hypertension patient cardiovascular danger layered evaluation method based on intelligent decision support. A hypertension patient cardiovascular danger layered evaluation method based on intelligent decision support comprises the components of a blood vessel parameter acquisition module, a pulse detecting module, a heart rate detecting module, a master control module, a patient file creating module, a layered model creating model, a hypertension risk predicting module, a tested data storage module and a display module. According to the method, through a layered model establishing module, by means of combination of an invasive attribute and a noninvasive attribute, the health layering model for aiming at the cardiovascular patient has advantages of higher accuracy, higher efficiency and effective overcoming of defects in establishing of previous models. Furthermore, high predicting accuracy is realized through the hypertension risk predicting model, and a neural network model is customized for each user.

Description

technical field [0001] The invention belongs to the technical field of cardiovascular risk stratification assessment for hypertensive patients, in particular to a cardiovascular risk stratification assessment method for hypertensive patients based on intelligent decision support. Background technique [0002] Hypertension (hypertension) refers to an increase in systemic arterial blood pressure (systolic and / or diastolic) as the main feature (systolic blood pressure ≥ 140 mm Hg, diastolic blood pressure ≥ 90 mm Hg), which may be accompanied by heart, brain, kidney, etc. Clinical syndrome of functional or organic damage to organs. Hypertension is the most common chronic disease and the main risk factor for cardiovascular and cerebrovascular diseases. The blood pressure of a normal person fluctuates within a certain range with changes in the internal and external environment. In the whole population, the blood pressure level gradually increases with age, especially the systol...

AI Technical Summary

Problems solved by technology

However, the existing cardiovascular risk stratification assessment system for hypertensive patients consumes a lot of cardiovascular testing process, and the result indicators obtained are not many, resulting in inaccurate results; at the same time, it is impossible to predict hypertension in a timely and accurate manner

[0003] To sum up, the problems existing in the existing technology are: the existing cardiovascular risk stratification assessment system for hypertensive patients consumes a lot of cardiovascular detection process, and the result indicators obtained are not many, resulting in inaccurate results; at the same time, it cannot be timely and accurate. prediction of hypertensive disorders

[0004] The existing technology cannot realize the correction and compensation of blood vessel detection equipment, and the accuracy of detecting parameters such as blood pressure, vascular sclerosis index, and vascular resistance index of patients is poor, and cannot provide health protection for hypertensive patients; The gain and offset of the patient's vascular parameters, pulse, and heart rate data are stored after feedback correction, which reduces the high accuracy of vascular parameters, pulse, and heart rate data storage, and cannot provide guarantee for the accurate prediction of cardiovascular risk in hypertensive patients; the existing The data obtained by technical detection cannot be effectively corrected, which makes the quality and authenticity of the displayed content poor, and reduces the accuracy of the system in predicting the cardiovascular hazards of hypertensive patients

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