Machine learning model for prediction of coronavirus disease 2019 within 6 months after three doses of BNT162b2 in Hong Kong.

Journal: Hong Kong medical journal = Xianggang yi xue za zhi
Published Date: Jun 23, 2025

Abstract

INTRODUCTION: We aimed to develop a machine learning (ML) model to predict the risk of coronavirus disease 2019 (COVID-19) among three-dose BNT162b2 vaccine recipients in Hong Kong.

Authors

  • J T Tan
    Department of Medicine, School of Clinical Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong SAR, China.
  • R Zhang
    The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China - Department of Nuclear Medicine, Hefei, Anhui, China.
  • K H Chan
    Department of Microbiology, School of Clinical Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong SAR, China.
  • J Qin
    Department of Ultrasound, The First Affiliated Hospital of Anhui Medical University, No. 218 Jixi Road, Shushan District, Hefei 230022, Anhui Province, China.
  • I F N Hung
    Department of Medicine, School of Clinical Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong SAR, China.
  • K S Cheung
    Department of Medicine, School of Clinical Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong SAR, China.

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