Constructing a screening model to identify patients at high risk of hospital-acquired influenza on admission to hospital.

Journal: Frontiers in public health
PMID:

Abstract

OBJECTIVE: To develop a machine learning (ML)-based admission screening model for hospital-acquired (HA) influenza using routinely available data to support early clinical intervention.

Authors

  • Shangshu Zhang
    Department of Disease Prevention and Control, Zhengzhou Central Hospital Affiliated to Zhengzhou University, Zhengzhou, Henan, China.
  • Peng Li
    WuXi AppTec Co, Shanghai, China.
  • Bo Qiao
    Key Laboratory of Luminescence and Optical Information, Beijing Jiaotong University, Ministry of Education Beijing 100044 China zhengxu@bjtu.edu.cn ddsong@bjtu.edu.cn.
  • Hongying Qin
    Department of Infection Prevention and Control, Zhengzhou Central Hospital Affiliated to Zhengzhou University, Zhengzhou, Henan, China.
  • Zhenzhen Wu
    Germplasm Bank of Wild Species, Kunming Institute of Botany, Chinese Academy of Science, Kunming 650201, China.
  • Leilei Guo
    Department of Infection Prevention and Control, Zhengzhou Central Hospital Affiliated to Zhengzhou University, Zhengzhou, Henan, China.