Risk prediction method, apparatus, computer device and storage medium

Abstract

The present application relates to a risk prediction method, apparatus, computer device and storage medium based on security protection. The method comprises the following steps: a server receives a prediction request sent by a terminal, and obtains each piece of dimension information of an enterprise according to the prediction request. The enterprise indexes are extracted from the information ofeach dimension of the enterprise, and the enterprise indexes are inputted into the available prediction model as the prediction characteristics in advance, and the risk prediction labels and risk-free prediction labels corresponding to the enterprise indexes are obtained respectively. According to the risk prediction tag and the risk-free prediction tag, the risk prediction information and the risk-free prediction information corresponding to the enterprise index are obtained respectively, and the risk prediction information and the risk-free prediction information are sent to the corresponding terminal. The method can reduce resource consumption without repeatedly performing data preprocessing on each index under the condition of data updating, and simultaneously send corresponding prediction information to corresponding terminals according to different prediction tags, thereby further improving the risk prediction effect.

Description

technical field [0001] The present application relates to the field of computer technology, in particular to a risk prediction method, device, computer equipment and storage medium. Background technique [0002] The risk early warning system is based on the characteristics of the research object, by collecting relevant data and information, monitoring the change trend of risk factors, and evaluating the degree to which various risk states deviate from the early warning line, sending early warning signals to the decision-making layer and taking pre-control in advance countermeasure system. Therefore, in order to build an early warning system, an evaluation index system must be constructed first, and the index categories must be analyzed and processed. Secondly, according to the early warning model, comprehensively judge the evaluation index system. Finally, the early warning interval is set according to the evaluation results, and corresponding countermeasures are taken. ...

AI Technical Summary

Problems solved by technology

However, when there is a data update and the model needs to be updated, the validity, threshold, and weight of the indicators need to be recalculated, which requires a lot of manpower and time to do the above data preprocessing work

And the traditional statistical-based risk early warning system is sensitive to missing data and noise data, which affects the risk prediction effect

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