Attention-based recurrent neural network for influenza epidemic prediction.

Journal: BMC bioinformatics
Published Date:

Abstract

BACKGROUND: Influenza is an infectious respiratory disease that can cause serious public health hazard. Due to its huge threat to the society, precise real-time forecasting of influenza outbreaks is of great value to our public.

Authors

  • Xianglei Zhu
    College of Intelligence and Computing, Tianjin University, Peiyang Park Campus: No.135 Yaguan Road, Haihe Education Park, Tianjin, 300350, China.
  • Bofeng Fu
    College of Intelligence and Computing, Tianjin University, Peiyang Park Campus: No.135 Yaguan Road, Haihe Education Park, Tianjin, 300350, China.
  • Yaodong Yang
    School of Mechanical Engineering (Shandong Institute of Mechanical Design and Research), Qilu University of Technology (Shandong Academy of Sciences), Jinan, Shandong, China.
  • Yu Ma
    Department of Electronic Engineering, Fudan University, Shanghai, China.
  • Jianye Hao
    College of Intelligence and Computing, Tianjin University, Peiyang Park Campus: No.135 Yaguan Road, Haihe Education Park, Tianjin, 300350, China. haojianye@gmail.com.
  • Siqi Chen
    College of Animal Science and Technology, Jilin Agricultural University, Changchun, China.
  • Shuang Liu
    Key Laboratory for Applied Technology of Sophisticated Analytical Instruments of Shandong Province, Shandong Analysis and Test Center, Qilu University of Technology (Shandong Academy of Sciences), Jinan, 250014, China.
  • Tiegang Li
    Guangzhou Center for Disease Control and Prevention, Guangzhou, 510440, China.
  • Sen Liu
    Automotive Data Center, China Automotive Technology & Research, Tianjin, 300300, China.
  • Weiming Guo
    Automotive Data Center, China Automotive Technology & Research, Tianjin, 300300, China.
  • Zhenyu Liao
    Department of Neonatology, Hunan Children's Hospital, Changsha, Hunan, China.