System and method for analyzing health data

Abstract

The invention discloses a system and a method for analyzing health data. The system for analyzing health data comprises a health data input module for receiving health data of the user; a rule allocation module for allocating rule of the health data; and an analysis module for analyzing the health data according to the rule in order to obtain analysis result. The system of analyzing health data achieves individual analysis of the health data by allocating rule automatically. The health condition of the user can be evaluated comprehensively in a multi-angle and multi-level manner by combination of allocation rules of survey data, historical health examination data and present health examination data.

Description

technical field [0001] The invention relates to the field of artificial intelligence, in particular to a health data analysis system and method. Background technique [0002] With the continuous improvement of living standards and the gradual acceleration of people's work and life rhythms, health has become a topic of increasing concern. People are paying more and more attention to timely and accurate understanding of their own health status through physical examinations or health surveys. In addition, regular medical examinations for enterprise employees, recruitment, conscription, student enrollment, health examinations for specific positions, various chronic diseases and treatment, and prevention of occupational diseases are also inseparable from medical examinations by hospitals or specialized medical institutions. [0003] Physical examination is a very complicated process, involving various departments, various physical examination items, physical examination results, ...

AI Technical Summary

Problems solved by technology

[0005] However, the current existing health analysis systems can only obtain obscure data for the analysis of physical examination results, and cannot give clear conclusions

Even though there are some health analysis systems that can analyze laboratory results, physical examination data, and survey results, their statistical analysis rules are often single and fixed, which inevitably leads to biased conclusions

However, the general health survey system or health analysis system can only analyze the standard answers provided by questionnaires in isolation, and draw incomplete conclusions.

Moreover, most of the current health analysis systems only conduct analysis based on one or a few fixed rules, such as setting the blood sugar level between 3.9 and 6.2 arbitrarily based on the digital results of the physical examination without fully investigating user o

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