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After the user authorizes, the smart health bracelet will upload the relevant physical health monitoring information of each wearing user in real time. After the information is uploaded to the database, a summary and analysis will be performed.

The personal health comprehensive monitoring system will analyze the relevant detection information of each bracelet user in recent days, recent weeks, recent months and even longer.

The system will extract these abnormal monitoring information and conduct more detailed processing and analysis by the personal health comprehensive monitoring system and large-scale computer. And according to the specific situation of each user with abnormal information, formulate a disposal proposal.

This disposal proposal will also be reviewed by the relevant professional medical experts. After the review is correct, it will be sent to the user's equipment in the form of information.

Such long-term physical health monitoring has a very good preventive effect on the personal health of our users. The personal health comprehensive monitoring system uses a large computer to determine whether there is a problem with the user's physical health based on the changes in these values.

Therefore, it is very good for the early detection of some diseases and the prevention and control of some chronic diseases.

What we have to say is that once everyone accepts and agrees to this service, it means joining our'Fairy Project'.

The core purpose of this plan is to use the personal health big data information of the majority of users for more elaborate calculations and analysis. So that it can be used by our scientists to do some research on human life sciences, difficult diseases and so on.

As we all know, at present, we still have a very shallow understanding of many diseases, especially some incurable diseases. The pathogenesis, the impact on the body, how to treat it if it is controlled, etc.

These all require summary analysis of long-term empirical data to obtain relevant cognitive and therapeutic experience.

In the past, relying on the traditional data statistics of the hospital, it was too backward, and it was very slow, and the information could not be updated in real time.

And now through the big data system, we can understand this information, and through the analysis of individual cases, in order to obtain more specific and accurate data information.

This has a great role in promoting the analysis of human life sciences and intractable diseases by our scientist pathologists.

We can do this thing quietly, just like many companies and software equipment, so quietly collect everyone's personal information and do so-called big data.

But in line with the principle of being responsible to the majority of users, I still intend to make it clear to you in advance, and hope to get everyone's support.

In order to respect the right of each of us to choose, we can freely check this function, we will not force everyone to agree.

In fact, this is what we have done in the past, and it is due to everyone's trust. Up to now, our company has not had a case of large-scale user information being leaked and stolen.

In this regard, we have also been recognized by the majority of users and received high praise.

We know that everyone is most worried about whether the collection of personal health information will affect or endanger the security of personal information, and cause some inconvenience.

For example, some call harassment calls, some recommend medicines, and some medical advertisements.

In this regard, everyone is assured that we will not sell these data to commercial advertising companies, only for research and use by relevant medical institutions.

In addition, the medical information identity information uploaded by the majority of users is just a string of digital identification codes.

Our personal health comprehensive monitoring system system background will not display your real person identity information, as well as your contact phone address or whatever, will not be displayed.

In this way, even if these personal health information are hacked or accidentally leaked out, it will not endanger the security of the personal identity information of the majority of users.

Because what represents each user's identity information is a string of digital identification codes, and this string of digital identification codes is encrypted, so outsiders have no way of knowing and it is difficult to crack.

What's more, we have very strict confidentiality measures for these data information, and our core data system has not been compromised by hackers so far.

Having said so much in one breath, Wu Hao also hopes to persuade the general public as much as possible. Because this kind of big data information about personal health is very important, it has great value for life science research.

Regarding this plan, he has received strong support from relevant departments and research institutions, otherwise he will not say so at the press conference.

It can be expected that this matter will definitely cause some controversy. After all, for this kind of big data information collection, the general public is still cautious or even opposed.

The reason is that the management of the application of big data information is not strict enough, so many people have taken advantage of the loophole, which has had a big impact on personal life.

For example, when using a mobile phone, talk about a product on the chat software. Not even using a mobile phone, just talking about a certain product during daily voice chat with friends.

The user then opens some shopping apps or browsers, as well as some other apps. Users will find that the related products mentioned before will be recommended in the advertising space.

This makes users feel as if their phones are being monitored or eavesdropped, making users uneasy.

Even more horrifying is that there is nothing to say. When users want to buy something, open related shopping apps, or browse other apps, the advertising space just recommends this.

Users will be surprised that they have just thought about buying it. How to recommend these softwares? Do they know how to understand themselves?

This is the big data technology, which predicts some possible consumption opportunities and commodities through the usual behaviors of users.

You can even recommend some products through some other information~www.readwn.com~.

For example, the most common meteorological information, various applications can know the user's location through positioning, and recommend some products targeted, some recommend umbrellas, some recommend sunscreen, and other recommend T-shirts, and cotton clothes.

In addition, according to the summary analysis of the users' personal big data information, the system will analyze the preferences, consumption habits, consumption capabilities, etc. of male and female consumers of different ages.

Therefore, the big data analysis information will be sold to relevant merchants and platforms, and the products will be designed and manufactured in a targeted manner, and different products will be recommended to different user groups in a targeted manner.

In fact, the application of this kind of big data information will not affect our personal information security and life in general. On the contrary, with the support of big data information, we can also make life easier.

The system will know your preferences and recommend the products you like in a targeted way, which will save you the process of screening.

But it is undeniable that some companies have violated regulations, which has affected our personal information security and personal life.