Network big data platform-based disease risk prediction system

Abstract

The invention relates to a disease risk prediction system based on a network big data platform, including a data communication network, a wearable biological sign detection device, an intelligent mobile communication terminal, a body fluid detector, a disease data transfer server based on a community medical station, and a local hospital medical detection system. Equipment, local hospital disease data server and information server based on cloud data processing platform, wherein the information server based on cloud data processing platform is respectively connected with community medical station disease data transfer server and local hospital disease data server through data communication network. On the one hand, the present invention can perform continuous detection and multi-level detection of body physiological indicators for system users, improve the timeliness of detection of physical diseases and the accuracy of detection of disease development, and facilitate remote detection and consultation of user conditions on the other hand, Facilitate timely and effective assessment of disease progression.

Description

technical field [0001] The invention relates to a disease diagnosis system, specifically a disease risk prediction system based on a network big data platform. Background technique [0002] At present, with the improvement of people's health awareness, people pay more and more attention to their health. At the same time, with the progress and development of Internet technology, sensor technology and other related technologies, there are currently a large number of smart bracelets, etc. Intelligent detection devices make it possible to detect important physiological parameters of the user's body throughout the day. At the same time, various types of remote disease monitoring systems have been gradually developed. Only when the patient's disease occurs can the patient be reminded of the disease and the patient's condition can be judged remotely. However, due to the lack of effective and close data connection between the current remote disease monitoring system and the existing...

AI Technical Summary

Problems solved by technology

[0002] At present, with the improvement of people's health awareness, people pay more and more attention to their health. At the same time, with the progress and development of Internet technology, sensor technology and other related technologies, there are currently a large number of smart bracelets, etc. Intelligent detection devices make it possible to detect important physiological parameters of the user's body throughout the day. At the same time, various types of remote disease monitoring systems have been gradually developed. Only when the patient's disease occurs can the patient be reminded of the disease and the patient's condition can be judged remotely. However, due to the lack of effective and close data connection between the current remote disease monitoring system and the existing medical institutions, the ability to judge the disease is relatively low. Poor, lacks effective prediction of disease occurrence and development, and lacks comprehensive and reliable analysis and diagnostic basis for disease diagnosis. On the other hand, the current remote disease monitoring system has a relatively large system architecture limitation in actual use , which can only satisfy data interaction in a small or specific range, but cannot establish a direct and effective data connection relationship with the current Internet big data platform, resulting in relatively poor versatility and scalability of the current remote disease monitoring system. Communication efficiency, communication security, and data processing capacity are relatively insufficient, which cannot effectively meet the needs of actual use. Therefore, in view of this phenomenon, it is urgent to develop an inventive disease detection and risk prediction system to meet the needs of actual use.

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