Big data processing method and device for chronic kidney disease management

Abstract

The invention discloses a big data processing method and device for chronic kidney disease management. The method provided by the invention is simple and reasonable in steps, can analyze and process glomerular filtration rate data, urine protein data, blood pressure data, blood sugar data, blood uric acid data and blood fat data for managing chronic kidney diseases, and can obtain an accurate processing result report. The report can be used as a reference for medical staff to treat a patient, brings convenience to the medical staff, enables the medical staff to carry out work easily, and can urge the patient to actively go to a hospital for treatment to prevent further harm to economy, life and the like of the patient. The device is simple in structure, convenient to carry and convenient to use, the modes of inputting glomerular filtration rate data, urine protein data, blood pressure data, blood sugar data, blood uric acid data and blood fat data are diversified, the modes of transmitting processing result reports are diversified, and the use requirements of patients can be well met.

Description

technical field [0001] The invention relates to the technical field of data processing, and more specifically, it relates to a big data processing method and equipment for chronic kidney disease management. Background technique [0002] my country is one of the countries with the fastest growth rate of chronic disease patients in the world. Chronic disease refers to the general term for diseases that do not constitute infection but form disease forms after long-term accumulation and damage the health of the body. Chronic diseases are not easy to detect, but once discovered, if not treated in time, it will cause economic and life harm. [0003] The existing big data processing methods for the management of chronic kidney disease are complicated and unreasonable, and cannot manage the glomerular filtration rate data, urine protein data, blood pressure data, blood sugar data, blood uric acid data and blood lipid data of chronic kidney disease. The data is analyzed and process...

AI Technical Summary

Problems solved by technology

Chronic diseases are not easy to detect, but once discovered, if not treated in time, it will cause economic and life harm

[0003] The existing big data processing methods for the management of chronic kidney disease are complicated and unreasonable, and cannot manage the glomerular filtration rate data, urine protein data, blood pressure data, blood sugar data, blood uric acid data and blood lipid data of chronic kidney disease. The data is analyzed and processed, resulting in the inability to obtain accurate processing result reports, unable to provide reference for medical staff to see patients, unable to bring convenience to medical staff, inconvenient for medical staff to carry out work, and unable to help patients understand their condition , resulting in the inability to urge patients to actively go to the hospital for treatment, further causing harm to the patient's economy and life;

[0004] Existing big data processing equipment for chronic kidney disease management has a complex structure and is not easy to carry, resulting in inconvenient use. Input glomerular filtration rate data, urine protein data, blood pressure data, blood sugar data, blood uric acid data and blood lipid data The single method and the single method of transmitting the processing result report make it unable to meet the requirements of patients

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