Personalized user health risk coefficient analysis system and method
A technology of risk factor and user data, applied in the field of Internet medical care, can solve the problems of health risk assessment deviation, data not included in health risk assessment, etc.
Inactive Publication Date: 2017-12-19
杭州线条科技有限公司
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[0004] There is a relatively big defect in this scheme, that is, the data generated by the user in daily life is not included in the health risk assessment, such as the user's exercise data, physical examination data, and illness status, which leads to deviations in the health risk assessment
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[0033] The specific embodiments of the present invention will be further described below in conjunction with the accompanying drawings. It should be noted here that the descriptions of these embodiments are used to help understand the present invention, but are not intended to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below may be combined with each other as long as they do not constitute a conflict with each other.
[0034] The present invention provides the present invention also provides a personalized user health risk system analysis method, such as figure 1 As shown, the steps include:
[0035] S1. Upload the user's health data through the platform, and collect the user's weight, blood pressure, heart rate, blood lipid and user's exercise data, and at the same time obtain the user's static basic data, detailed physical examination data connected with the system and the physical...
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The invention discloses a personalized user health risk coefficient analysis system. The system comprises a user data uploading module, a user data acquisition module, a user data platform module, a data standardized processing module, a user data storage module, a user risk model and a risk coefficient generation module, wherein the user data storage module is used for storing user data which undergoes standardized processing; the user risk model is used for continuously carrying out adjustment, optimization and calculation analysis on the user data so as to recognize a health risk of the user; and the risk coefficient generation module is used for carrying out calculation according to all the user data and the user risk model to finally obtain a health risk coefficient of the user. By adoption of the system, the user risk model can be obtained more correctly through obtaining all the static and dynamic data of the users and continuously updating and completing the data in each aspect, and continuous calculation is carried out to obtain new health risk coefficients, so that more correct health risk evaluation results can be obtained and then more reliable and correct risk pre-warning can be provided for the users.
Description
technical field [0001] The present invention relates to the field of Internet medical technology, and specifically refers to a personalized user health risk system analysis system and method. Background technique [0002] With the deterioration of people's living environment, the frequency of serious diseases among ordinary people is getting higher and higher, and the age is getting younger and younger. People are increasingly hoping to have a reliable system to monitor and warn their physical risk status. Secondly, with the development of the Internet in all walks of life, smart devices are becoming more and more popular. We can obtain a wider range of user data, and then monitor the user's body in a more comprehensive way, and then identify the user's health risks in a more reasonable and timely manner. [0003] Similar risk identification systems currently on the market are mainly based on static user data, such as user age, gender, job position, and genetic genes. The sy...
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IPC IPC(8): G06F19/00
Inventor 冯桦黄建飞
Owner 杭州线条科技有限公司