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Counterfactual prediction model data processing method, device, equipment and storage medium

A forecasting model and forecasting data technology, which is applied in the field of devices, equipment and storage media, and counterfactual forecasting model data processing methods, can solve problems such as inaccuracy and deviation in forecasting results, and achieve the effect of improving forecasting accuracy

Active Publication Date: 2021-07-27
TENCENT TECH (SHENZHEN) CO LTD
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, counterfactual prediction models based on target responses are biased and inaccurate due to the association between time-varying confounding factors and responses

Method used

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  • Counterfactual prediction model data processing method, device, equipment and storage medium
  • Counterfactual prediction model data processing method, device, equipment and storage medium
  • Counterfactual prediction model data processing method, device, equipment and storage medium

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Embodiment Construction

[0048] In order to make the purpose, technical solution and advantages of the present application clearer, the implementation manners of the present application will be further described in detail below in conjunction with the accompanying drawings.

[0049] Artificial Intelligence (AI) is a theory, method, technology and application system that uses digital computers or machines controlled by digital computers to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain the best results. In other words, artificial intelligence is a comprehensive technique of computer science that attempts to understand the nature of intelligence and produce a new kind of intelligent machine that can respond in a similar way to human intelligence. Artificial intelligence is to study the design principles and implementation methods of various intelligent machines, so that the machines have the functions of perception, reasoning and de...

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Abstract

The application discloses a counterfactual prediction model data processing method, device, equipment and storage medium, and relates to the technical field of artificial intelligence. The method includes: obtaining historical observation data related to the target event; constructing training samples based on the historical observation data; obtaining countermeasure prediction data and balance representation parameters through the encoding network based on the training samples; and obtaining countermeasure prediction data and balance representation parameters through the decoding network based on the balance representation parameters and countermeasures The real data is used to obtain the predicted data of the output variable; the training loss is determined based on the predicted data of the countermeasures, the real data of the countermeasures, the predicted data of the output variable and the label data; the model is trained based on the training loss. The training method provided by this application can eliminate the correlation between time-varying confounding factors and countermeasures, so that the deviation caused by time-varying confounding factors can be eliminated during counterfactual prediction, and the prediction accuracy of the model can be improved. The technical solution provided by this application is applicable to the counterfactual prediction of the epidemic.

Description

technical field [0001] The embodiments of the present application relate to the technical field of artificial intelligence, and in particular to a counterfactual prediction model data processing method, device, device, and storage medium. Background technique [0002] With the research and progress of artificial intelligence technology in counterfactual prediction models, researchers can use counterfactual prediction models to predict the effect of target response measures on epidemic control. [0003] Taking a counterfactual prediction model composed of a recurrent neural network as an example, train the counterfactual prediction model based on historical epidemic data to obtain a trained counterfactual prediction model, and then predict the future development trend of the epidemic by changing the input data of the model . For example, the response measures in the input data of the model are replaced with the target response measures to predict the control effect of the ta...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/2458G06Q10/04G06N3/04G06N3/08G06N20/00
CPCG06N3/049G06N3/08G06Q10/04G06F16/2474G06N20/00
Inventor 孙继超叶志豪田彦培陈曦
Owner TENCENT TECH (SHENZHEN) CO LTD
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