Big data health prediction system

Abstract

The invention relates to a big data health prediction system. The system comprises a data information collection module, a big data analysis platform and an intelligent terminal, wherein the data information collection module is used for collecting user health feature data information; the big data analysis platform builds a disease risk prediction model with high accuracy by utilizing a machine learning method, performs prediction and disease risk assessment on a health state of a user according to the built disease risk prediction model, and gives guiding views of the health state of the user; the intelligent terminal is used for receiving a final disease prediction result and the guiding views of the health state of the user obtained by the big data analysis platform; and the user can upload the health feature data information to the big data analysis platform through the intelligent terminal in real time. The user can prevent own health problems according to the guiding views of the health state of the user, thereby guaranteeing health of the user; and the system is relatively high in practicality and high in accuracy.

Description

technical field [0001] The invention relates to the technical field of big data, in particular to a big data health prediction system. Background technique [0002] With the continuous development of my country's economy, the air pollution is gradually intensified, causing more and more people's living environment problems, and the proportion of sub-health in the population is increasing year by year. About 700 million people are in a sub-health state. Enterprise white-collar workers and government officials Due to the nature of their work, they are one of the main sub-health groups, and the physical condition of corporate cadres is not optimistic. Therefore, it is necessary to carry out research on health risk assessment and early warning technology to realize early warning and early intervention of the health status of the population. [0003] With the advent of big data, data is gradually considered to be very useful. A large amount of data is cleaned to classify useful d...

AI Technical Summary

Problems solved by technology

[0004] However, the above technologies can only collect the user's health data, or evaluate the current state of the individual based on the collected data, but cannot evaluate and predict the future health state

In addition, the existing technology can only collect personal information, but cannot collect external environment, so that it is impossible to make a comprehensive judgment on personal health, and it is impossible to give predictions based on the environment

[0005] On the other hand, due to the lack of large-scale data processing capabilities and multi-dimensional data analysis capabilities, even if the collected data contains a lot of useful information, even data that can be directly used to diagnose diseases, it will be overwhelmed by massive data

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