Application of artificial neural network in daily prediction of bleeding in ICU patients treated with anti-thrombotic therapy.

Journal: BMC medical informatics and decision making
Published Date: Aug 31, 2023

Abstract

OBJECTIVES: Anti-thrombotic therapy is the basis of thrombosis prevention and treatment. Bleeding is the main adverse event of anti-thrombosis. Existing laboratory indicators cannot accurately reflect the real-time coagulation function. It is necessary to develop tools to dynamically evaluate the risk and benefits of anti-thrombosis to prescribe accurate anti-thrombotic therapy.

Authors

  • Daonan Chen
    Department of Critical Care Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, No. 650 New Songjiang Road, Songjiang, Shanghai, 201600, China.
  • Rui Wang
    Department of Clinical Laboratory Medicine Center, Inner Mongolia Autonomous Region People's Hospital, Hohhot, Inner Mongolia, China.
  • Yihan Jiang
    Department of Critical Care Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, No. 650 New Songjiang Road, Songjiang, Shanghai, 201600, China.
  • Zijian Xing
    Deepwise AI Lab, Beijing, 100080, China.
  • Qiuyang Sheng
    Deepwise Artificial Intelligence Laboratory, Beijing, China.
  • Xiaoqing Liu
  • Ruilan Wang
    Department of Critical Care Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, No. 650 New Songjiang Road, Songjiang, Shanghai, 201600, China.
  • Hui Xie
    Department of Breast Diseases, The First Affiliated Hospital of Nanjing Medical University & Jiangsu Province Hospital, Nanjing, Jiangsu, China.
  • Lina Zhao
    College of Food and Bioengineering, Henan University of Science and Technology, Luoyang, China.

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