Infectious disease collaborative prediction method based on similar big data deep learning, and robot

Abstract

The invention discloses an infectious disease collaborative prediction method based on similar big data deep learning, and a robot. The method comprises the following steps: determining a target infectious disease; acquiring target infectious disease information; obtaining a similarity model; initializing a target model; predicting; and performing first model storage. According to the method, a system and the robot, the target infectious disease deep learning model is constructed through the trained deep learning model of the similar infectious disease, so that the existing model of the similar infectious disease can be used for constructing a model of a new infectious disease, the problem of insufficient training data of the new infectious disease can be solved, the prediction accuracy of the deep learning model of the new infectious disease can be greatly improved, meanwhile, the new infectious disease model can be used as an initial model of a future model after reaching an expected effect, and the prediction accuracy of the new infectious disease becomes higher and higher.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to a collaborative prediction method and robot for infectious diseases based on deep learning of similar big data. Background technique [0002] In the process of realizing the present invention, the inventor found that there are at least the following problems in the prior art: under the traditional approach, the initialization of the spatio-temporal prediction model of emerging major infectious diseases based on big data deep learning is to randomly assign initial values ​​to the model parameters , and then carry out learning and training, which is feasible for known infectious diseases with a large number of samples, but it is not suitable for emerging infectious diseases with relatively small sample sizes, because the model based on deep learning of big data, from A large number of samples are required to train a model with a random initial value as a weight to a...

AI Technical Summary

Problems solved by technology

[0004] Based on this, it is necessary to address the defects or insufficiencies of existing technologies, and provide collaborative prediction methods and robots for infectious diseases based on similar big data deep learning, so as to solve the problem of insufficient data in the initial stage of emerging infectious diseases in existing technologies that has become an obstacle to deep learning. To improve the effect of the spatio-temporal prediction model for the early stage of emerging infectious diseases

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