Prediction models based on machine learning algorithms for COVID-19 severity risk.

Journal: BMC public health
PMID: 40361078

Abstract

BACKGROUND: The World Health Organization has highlighted the risk of Disease X, urging pandemic preparedness. Coronavirus disease 2019 (COVID-19) could be the first Disease X; therefore, understanding the epidemiological experiences of COVID-19 is crucial while preparing for future similar diseases.

Authors

  • Hansong Zhang
    School of Mechanical Engineering, Tianjin University, Tianjin, 300350, China.
  • Ying Wang
    Key Laboratory of Macromolecular Science of Shaanxi Province, School of Chemistry & Chemical Engineering, Shaanxi Normal University, Xi'an, Shaanxi 710062, China.
  • Yan Xie
    Key laboratory of Transplantation, Chinese Academy of Medical Sciences, Tianjin, 300192, China; Tianjin Key Laboratory for Organ Transplantation, Tianjin First Center Hospital, Tianjin, 300192, China; Department of Liver Transplantation, Tianjin First Central Hospital, Tianjin, 300192, China; Tianjin Key Laboratory of Molecular and Treatment of Liver Cancer, Tianjin First Center Hospital, Tianjin, 300192, China.
  • Cuihan Wang
    Tianjin Nankai Hospital, Tianjin Medical University, Tianjin, 300000, China.
  • Yuqi Ma
    College of Artificial Intelligence, Southwest University, Chongqing 400715, China; National & Local Joint Engineering Laboratory of Intelligent Transmission and Control Technology, Chongqing, 400715, China.
  • Xin Jin
    Department of Hepatic Surgery, Fudan University Shanghai Cancer Center, Shanghai Medical College, Fudan University, Shanghai, China.

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