Comparison of the SVR and ARIMA models for Prediction of daily imported new cases of COVID-19 in Shanghai, China

被引：0
|
作者：
Zhao, Daren [1 ]
Zhang, Huiwu [1 ]
机构：
[1] Medical Administration Office, Sichuan Provincial Orthopedics Hospital, Sichuan, Chengdu, China
来源：
Proceedings - 2022 Asia Conference on Algorithms, Computing and Machine Learning, CACML 2022 | 2022年
关键词：
Compendex;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
COVID-19
引用
收藏
页码：244 / 248
相关论文
共 5 条
  • [1] Comparative Evaluation of the Multilayer Perceptron Approach with Conventional ARIMA in Modeling and Prediction of COVID-19 Daily Death Cases
    Qureshi, Moiz
    Daniyal, Muhammad
    Tawiah, Kassim
    JOURNAL OF HEALTHCARE ENGINEERING, 2022, 2022
  • [2] Application of optimized LSTM in prediction of the cumulative confirmed cases of COVID-19
    He, M.
    Zhu, W.W.
    Chen, H.Z.
    Zhu, Hongbing
    Computer Methods in Biomechanics and Biomedical Engineering, 2024, 27 (13): : 1893 - 1905
  • [3] Comparison of COVID-19 Prediction Performances of Normalization Methods on Cough Acoustics Sounds
    Erdoğan, Yunus Emre
    Narin, Ali
    arXiv, 2022,
  • [4] Prewhitening and normalization help detect a strong cross-correlation between daily wastewater SARS-CoV-2 RNA abundance and COVID-19 cases in a community
    Jeon, Min Ki
    Li, Bo
    Di, Doris Yoong Wen
    Yan, Tao
    ENVIRONMENTAL SCIENCE-WATER RESEARCH & TECHNOLOGY, 2023, 9 (05) : 1403 - 1412
  • [5] Development of the TOA-Related Models for PM2.5Prediction Pre- and Post-COVID-19 Outbreak over Yangtze River Delta Region of China
    Yang, Lijuan
    Shi, Tingting
    Lin, Musheng
    Wu, Junjie
    Wang, Shuai
    Liu, Youwen
    Journal of Sensors, 2022, 2022
1