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Individual sub-health state assessment method based on large data and artificial intelligence

A technology of artificial intelligence and health status, applied in the fields of medical data mining, health index calculation, medical automatic diagnosis, etc., can solve the problems of ignoring background differences, inability to understand, and inability to assess the health or sub-health status and degree of examinees

Inactive Publication Date: 2019-02-01
极力健生物科技(广州)有限公司
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  • Abstract
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AI Technical Summary

Problems solved by technology

[0003] In fact, at present, people's understanding of their own disease or non-disease state (including healthy state and sub-health state) comes from regular medical institution physical examination reports, and the main problems include: 1. The reference standard comes from the category of medical disease discrimination, which cannot evaluate the examinee Comprehensive health or sub-health status and degree, as well as the degree of difference between individual and group parameters; 2. Physical examination often ignores individual background differences of the examinee, such as diet, daily life, genetics, geography, age, etc., which cannot be understood Differences in physiological state between individuals and groups at the same / closer level to the background, and thus know and determine the direction of improvement

Method used

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  • Individual sub-health state assessment method based on large data and artificial intelligence

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Embodiment 1

[0022] Such as figure 1 As shown, an individual sub-health assessment and analysis method based on big data and artificial intelligence includes the following steps:

[0023] (1) Establish an initial sub-health assessment model based on evidence-based medicine, epidemiology, dietary nutrition surveys, and nutritional intervention data, and the model expression is S=A 1 f 1 +A 2 f 2 +A 3 f 3 +…+A i f i , where S is the sub-health score, Ai is the i-th factor weight coefficient, and Fi is the i-th factor;

[0024] (2) The information collection terminal collects the diet, exercise and physical signs information of not less than 1,000 people based on the collection rules, and uses multidimensional statistics, regression analysis, and cluster analysis to count the median value, distribution interval, and diet, exercise, and physical signs of each indicator the relevance of the information;

[0025] (3) According to the correlation results of diet, exercise and physical si...

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Abstract

The invention discloses an individual sub-health state assessment method based on large data and artificial intelligence. An initial sub-health assessment model is established based on evidence-basedmedicine, epidemiology, dietary nutrition survey and nutrition intervention data, the parameters of the sub-health assessment model are modified and are subjected to cross validation by using analyticand statistical results of dietary, sports and physical sign information of a large sample population, a personal information input module acquires a sub-health state score and an interpretation report, and the large data are accumulated by using the personal information to continuously calculate and optimize the sub-health assessment model. The model provides a solution for individual sub-healthstate assessment, an intelligent mobile terminal and a wearable device are used to realize real-time tracking and assessment, personalized, scientific and visualized sub-health state and degree assessment service is provided for residents, the resident can understand the own functional state, and a long-term health record can be established.

Description

technical field [0001] The invention relates to a sub-health state assessment method, in particular to an individual sub-health state assessment method based on big data and artificial intelligence, belonging to the technical field of health care. Background technique [0002] In recent years, with the advancement of life sciences, people's understanding of the process of life activities has become more and more in-depth, and correspondingly, the level of cognition and intervention technology for the occurrence and development of diseases has also been improved. With the development of evidence-based medicine, people have reached a lot of consensus on disease standards and disease types, which makes the disease a clear definition and classification standard, which is helpful for medical practitioners to choose appropriate means to intervene in the disease and delay the disease development and even recovery to a non-disease state. As we all know, the occurrence of disease is...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/30G16H50/70G16H50/20G16H20/60
CPCG16H50/30G16H20/60G16H50/20G16H50/70
Inventor 徐晓飞王瑜
Owner 极力健生物科技(广州)有限公司
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