High-risk group identification method and system

Abstract

The invention discloses a high-risk group identification method and system. The method comprises the steps: selecting a target group to be determined as the high-risk group and collecting one or moretarget analysis data of the target group; obtaining the preset analysis model and performing data analysis on one or more target analysis data according to the preset analysis model so as to obtain the corresponding analysis results; obtaining the prediction model after analyzing the result that the target group is the high-risk group and predicting the disease types and the risk levels of each target object in the target group according to the prediction model so as to obtain the corresponding prediction results; and pushing each prediction result to the display device of each set of terminalequipment of each target object and displaying the prediction result. According to the scheme, the disease types and the disease risk levels of each target object in the determined high-risk group can be predicted and each prediction result can be accurately pushed to each target object.

Description

technical field [0001] The invention relates to the technical field of identification, in particular to a method and system for identifying high-risk groups. Background technique [0002] The existing high-risk group identification methods are often only able to identify that the target group to be identified may be a high-risk group, and based on the type of data collected in the target group is limited, often a relatively single type, or several types of data , and various types of data are often not associated with each other. In this way, even if the target group is identified, the identification model based on identification is not accurate, and the identification result of the identified target group is not accurate, and comparisons may occur. big deviation. [0003] In addition, even if the target group to be identified is accurately identified as a high-risk group, the target group often includes multiple different target objects, and each target object may suffer f...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the embodiments of the present invention is to provide a high-risk group identification method and system to solve the problem that the prior art cannot accurately and targetedly identify each disease type and each disease type of each target object identified as a high-risk group. It is even more difficult to accurately push each prediction result to each target object

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