Health condition risk prediction method and device, computer equipment and storage medium

Abstract

The invention provides a health condition risk prediction method and device, computer equipment and a storage medium, and belongs to the field of intelligent medical treatment in an artificial intelligence technology. The method comprises the steps of obtaining target prediction information of a target user in a first preset time period; determining a risk level of the target user on at least oneprediction dimension according to the target prediction information and reference prediction information of the specified user; and performing risk prediction on the health condition of the target user according to the risk level of the target user on the at least one prediction dimension. According to the invention, risk prediction is carried out on the health condition of the target user in at least one prediction dimension according to the target prediction information of the target user and the reference prediction information of the specified user. Since the specified user is a user witha risk in a health condition, the risk prediction is carried out based on the reference prediction information of the specified user, the prediction result is more accurate and reliable, and the prediction result is more comprehensive according to the risk level of the target user in at least one dimension.

Description

technical field [0001] The present disclosure relates to the technical field of artificial intelligence, and in particular to a risk prediction method, device, computer equipment and storage medium for health status. Background technique [0002] When an epidemic occurs, many countries and regions will be affected. Under the influence of epidemic diseases, users are prone to panic, especially in areas where the epidemic is severe. In order to alleviate the panic of users and maintain the stability of society and the country, risk predictions can be made on the health status of users. [0003] At present, it mainly relies on the data on the network, and users can make risk predictions on their health status. [0004] However, due to the lack of detailed data on the Internet, it is difficult to accurately predict the health status of users based on these data. Contents of the invention [0005] In order to improve the accuracy of predicting a user's health status, embodim...

AI Technical Summary

Problems solved by technology

[0004] However, due to the lack of detailed data on the Internet, it is difficult to accurately predict the health status of users based on these data

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