Identification of early prognostic biomarkers in Severe Fever with Thrombocytopenia Syndrome using machine learning algorithms.

Journal: Annals of medicine
Published Date:

Abstract

OBJECTIVE: We aimed at identifying acute phase biomarkers in Severe Fever with Thrombocytopenia Syndrome (SFTS), and to establish a model to predict mortality outcomes.

Authors

  • Jie Zhu
    Department of Digestive Diseases, Huashan Hospital, Fudan University, Shanghai 200040, P.R. China.
  • Jianmei Zhou
    Institute of Clinical Virology, Department of Infectious Diseases, The Second Affiliated Hospital of Anhui Medical University, Hefei, China.
  • Chunhui Tao
    Institute of Clinical Virology, Department of Infectious Diseases, The Second Affiliated Hospital of Anhui Medical University, Hefei, China.
  • Guomei Xia
    Institute of Clinical Virology, Department of Infectious Diseases, The Second Affiliated Hospital of Anhui Medical University, Hefei, China.
  • Bingyan Liu
    South China Normal University, Guangzhou, 510006, China.
  • Xiaowei Zheng
    School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an 710049, China.
  • Xu Li
    Department of Critical Care Medicine, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China.
  • Zhenhua Zhang
    Genomics Coordination Center, University of Groningen and University Medical Center Groningen, Antonius Deusinglaan 1, 9713 AV, Groningen, The Netherlands.