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Application Progress of Deep Learning Algorithm in Epidemic Situation Prediction

Liqun Zhao, Tongting Liu*, Xiangjie Zhou, Zili Zhou

Abstract


This paper aims at comprehensively discussing the application progress of deep learning algorithm in epidemic situation prediction.
Firstly, the basic concept of deep learning algorithm is introduced, and the importance and challenges of epidemic prediction are analyzed.
Then, the application of deep learning algorithm in epidemic situation prediction is expounded in detail.

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References


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DOI: http://dx.doi.org/10.70711/aitr.v3i6.8600

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