Health data management system and analysis method based on edge computing and cloud computing

Abstract

The invention relates to a health data management system and analysis method based on edge computing and cloud computing, applying the mode of combining edge computing with cloud computing to management and analysis of health data. In order to effectively manage health data, a health data cloud computing platform, a health data edge computing platform group and a local multi-modal health data collection group are used to construct a health data management system based on edge computing and cloud computing to realize collection and storage management of multi-modal health data. At the same time, in order to effectively analyze the health data, PCA is used to extract the characteristics of health data in a data format, and PCANet is used to extract the characteristics of health data in an image format, and then a data fusion technology is used to achieve the effective fusion of health data, and then a random forest algorithm is used to analyze the health status. The health data management system and analysis method based on edge computing and cloud computing have the advantages of being simple in hardware, being relatively lightweight in the adopted algorithm, and being able to realize real-time and high-precision analysis of health data while ensuring the security of health data.

Description

technical field [0001] The invention relates to the fields of edge computing and human health, in particular to a health data management system and analysis method based on edge computing and cloud computing. Background technique [0002] At present, the medical system at this stage mostly records the basic information and disease conditions of patients inside the hospital, and most of them involve registration, queuing, outpatient appointments, charging systems, etc. Even if there is a patient information collection system, the collected information is small and there is no targeted collection. Because in the hospital, the data collected are basically patients, and the health status of healthy people is not collected, so it cannot be used for analysis, and cannot be used as an analysis sample for disease control and early warning. [0003] At this stage, health data management and analysis systems are generally divided into local and cloud-based. Most of the local methods...

AI Technical Summary

Problems solved by technology

Most of the local methods cannot handle massive amounts of medical and health data, and can only analyze a small amount of data. The results obtained are not universal, accurate, and error-prone

The cloud-based method uses the cloud platform to realize the summation management and analysis of massive health big data. Although the analysis of big data can be realized in this way, the health data needs to interact with the cloud platform frequently, which will occupy a lot of network resources. At the same time, the health data transmission There will also be problems such as loss and leakage in the process

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