Deep learning time series prediction models in surveillance data of hepatitis incidence in China.

Journal: PloS one
PMID: 35417459

Abstract

BACKGROUND: Precise incidence prediction of Hepatitis infectious disease is critical for early prevention and better government strategic planning. In this paper, we presented different prediction models using deep learning methods based on the monthly incidence of Hepatitis through a national public health surveillance system in China mainland.

Authors

  • Zhaohui Xia
    National Enterprise Information Software Engineering Research Center, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China.
  • Lei Qin
  • Zhen Ning
    School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China.
  • Xingyu Zhang
    Department of Communication Science and Disorders, School of Health and Rehabilitation Sciences, University of Pittsburgh, Pittsburgh, PA, USA.

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