A prediction approach to COVID-19 time series with LSTM integrated attention mechanism and transfer learning

被引：1

作者：

Bin Hu ^{[1
]}

Yaohui Han ^{[1
]}

Wenhui Zhang ^{[2
]}

Qingyang Zhang ^{[4
]}

Wen Gu ^{[1
]}

Jun Bi ^{[3
]}

Bi Chen ^{[2
]}

Lishun Xiao ^{[1
]}

机构：

[1] Xuzhou Medical University,School of Public Health

[2] Affiliated Hospital of Xuzhou Medical University,Department of Pulmonary and Critical Care Medicine

[3] Xuzhou Center for Disease Control and Prevention,undefined

[4] University of Nottingham,undefined

[5] University Blv,undefined

来源：

BMC Medical Research Methodology | / 24卷 / 1期

关键词：

COVID-19; Time series; Deep learning; LSTM; Transfer learning;

D O I：

10.1186/s12874-024-02433-w

中图分类号：

学科分类号：

摘要：

引用

共 50 条

[11] Prediction model of COVID-19 based on spatiotemporal attention mechanism
Bao X.
Tan Z.
Bao B.
Xu C.
Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics, 2022, 48 (08): : 1495 - 1504
[12] Prediction of COVID-19 cases using the weather integrated deep learning approach for India
Bhimala, Kantha Rao
Patra, Gopal Krishna
Mopuri, Rajasekhar
Mutheneni, Srinivasa Rao
TRANSBOUNDARY AND EMERGING DISEASES, 2022, 69 (03) : 1349 - 1363
[13] Deep learning infused SIRVD model for COVID-19 prediction: XGBoost-SIRVD-LSTM approach
Alkhalefah, Hisham
Preethi, D.
Khare, Neelu
Abidi, Mustufa Haider
Umer, Usama
FRONTIERS IN MEDICINE, 2024, 11
[14] Improved LSTM-based deep learning model for COVID-19 prediction using optimized approach
Zhou, Luyu
Zhao, Chun
Liu, Ning
Yao, Xingduo
Cheng, Zewei
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2023, 122
[15] The Prediction of COVID-19 Using LSTM Algorithms
Myung Hwa Kim
Ju Hyung Kim
Kyoungjin Lee
Gwang-Yong Gim
International Journal of Networked and Distributed Computing, 2021, 9 : 19 - 24
[16] The Prediction of COVID-19 Using LSTM Algorithms
Kim, Myung Hwa
Kim, Ju Hyung
Lee, Kyoungjin
Gim, Gwang-Yong
INTERNATIONAL JOURNAL OF NETWORKED AND DISTRIBUTED COMPUTING, 2021, 9 (01) : 19 - 24
[17] A novel bidirectional LSTM deep learning approach for COVID-19 forecasting
Nway Nway Aung
Junxiong Pang
Matthew Chin Heng Chua
Hui Xing Tan
Scientific Reports, 13
[18] A novel bidirectional LSTM deep learning approach for COVID-19 forecasting
Aung, Nway Nway
Pang, Junxiong
Chua, Matthew Chin Heng
Tan, Hui Xing
SCIENTIFIC REPORTS, 2023, 13 (01)
[19] Integrated Time Series Summarization and Prediction Algorithm and its Application to COVID-19 Data Mining
Plessen, Mogens Graf
2020 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), 2020, : 4945 - 4954
[20] Time series forecasting of COVID-19 transmission in Canada using LSTM networks
Chimmula, Vinay Kumar Reddy
Zhang, Lei
CHAOS SOLITONS & FRACTALS, 2020, 135

← 1 2 3 4 5 →