Risk event prediction method and system and risk event prediction system generation method

Abstract

The invention provides a risk event prediction method, a risk event prediction system, a risk event prediction system generation method, an electronic device, a computer readable storage medium and acomputer program product. The risk event prediction system generation method comprises: a data preprocessing step of receiving multiple event data associated with a risk event in a predetermined timeperiod, and performing preprocessing on the multiple event data to generate to-be-processed data; a feature data selection step of selecting data, the correlation between which and the risk event satisfies a predetermined condition, from the to-be-processed data as feature data; and a prediction system training step of training and obtaining a prediction system by using the feature data as training data. The generated prediction system has the advantages of high accuracy, strong robustness and low dependence on characteristics, so that the prediction of the first occurrence of the risk event can be realized under the condition of lack of enough past risk event history.

Description

technical field [0001] The present disclosure relates to the field of artificial intelligence, and more specifically, the present disclosure relates to a risk event prediction method, a risk event prediction system, a method for generating a risk event prediction system, an electronic device, a computer-readable storage medium, and a computer program product. Background technique [0002] Forecasting technology is to estimate the development trend and future state of things by using disciplinary methods and means according to the movement and change rules of certain things, and make qualitative or quantitative evaluations. People hope to predict possible future risk events (such as diseases, natural disasters, and unexpected dangers) through scientific forecasting techniques, so as to avoid the occurrence of risk events or prepare for the occurrence of risk events. [0003] In recent years, with the maturity of big data technology, various algorithms and related hardware com...

AI Technical Summary

Problems solved by technology

However, due to 1) the current low diagnosis rate of COPD (60 years old), with limited knowledge of the disease, and it is difficult to accurately obtain AECOPD history through clinical inquiry, which leads to the inadequacy of the current prediction and assessment model for AECOPD risk

Images