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
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[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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