Big data health forecast system

Abstract

The invention discloses a big data health forecast system. The big data health forecast system is characterized by comprising a sensor sampling unit, a signal conversion unit, a signal processing unit, a signal control unit and a storage unit which are sequentially connected, wherein the sensor sampling unit comprises a temperature sensor, a gas sensor, a humidity sensor, a pulse sensor, an acceleration sensor and a step counting sensor, the signal conversion unit is a signal amplification and filtering module, and the signal processing unit is a microprocessor. The operation steps of the big data health forecast system comprises big data acquisition, big data importing / pre-processing, big data statistic analysis and big data mining. Based on the development of big data in advance, effective processing is carried on all acquired information by using a big data algorithm, accurate personal health assessment and forecast are provided for a user, and measures are taken before happening.

Description

technical field [0001] The invention relates to the field of big data technology, in particular to a big data health prediction system. Background technique [0002] Health is a common topic of human beings. It has been around us for thousands of years. With the development of cities, various pollution problems will follow. With more and more white-collar office workers, the amount of exercise is getting less and less. Bigger and bigger, sleep quality problems follow. All these problems gradually make people pay more and more attention to health problems. [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 data, and the target is predicted by analyzing useful data. For example, the main functions of the Xiaomi Mi Band include checking the amount of exercise, monitoring the quality of sleep, and waking up with a smart alarm clock. You can check the amount of exercise in real time through...

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Problems solved by technology

[0004] However, the above technologies can only evaluate the current state of the individual based on the collected data, but not 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, multi-dimensional data analysis capabilities, and in-depth data mining capabilities, even if the collected data contains a lot of useful information, even data that can be directly used to diagnose diseases, based on data Dealing with the problem of mining capacity will also be overwhelmed by massive data

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