Application Progress of Deep Learning Algorithm in Epidemic Situation Prediction
Abstract
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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[1] Zhang Gege, Zhang Chuying, Li Xia, et al. Current situation of emergency response system for major respiratory infectious diseases in
China [J]. south china journal of preventive medicine, 2025, 51(03):303-305+310.
[2] Wu Xiru, Shen Keyang. Improved near-end strategy optimization algorithm for epidemic prevention robot based on artificial potential
field [J]. Journal of Intelligent Systems, 2025, 20(03):689-698.
[3] Qiu Jianmin. The practice of multiple AI algorithms in emotional recognition of COVID-19 epidemic text [J]. Jiangsu Communication,
2021, 37(05):101-104.
[4] Liu Kan, Huang Zheying. Rumor Identification in Major Outbreaks [J]. Journal of South China University of Technology (Natural Science Edition), 2021, 49(01):18-28.
[5] Zong Li. Research on the application and development trend of artificial intelligence technology in epidemic prevention and control [J].
China Informatization, 2020, (02):30-35.
[6] Zeng Yuanyuan, You Zhiyu, Ying Zhou, et al. Research progress of deep learning algorithm for clinical prediction based on biological
knowledge base [J]. China Digital Medicine, 2023, 18(08):42-50+66.
DOI: http://dx.doi.org/10.70711/aitr.v3i6.8600
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