Optimizing Vital Signs in Patients With Traumatic Brain Injury: Reinforcement Learning Algorithm Development and Validation.

Journal: Journal of medical Internet research
Published Date:

Abstract

BACKGROUND: Traumatic brain injury (TBI) is a critically ill disease with a high mortality rate, and clinical treatment is committed to continuously optimizing treatment strategies to improve survival rates.

Authors

  • Hongwei Zhang
    Jiangsu Provincial Key Laboratory for TCM Evaluation and Translational Development, China Pharmaceutical University, Nanjing, Jiangsu 211198, China.
  • Mengyuan Diao
    Fourth Clinical Medical College of Zhejiang Chinese Medical University, Zhejiang, 310006, Hangzhou, China. diaomengyuan@hospital.westlake.edu.cn.
  • Sheng Zhang
    Department of Critical Care Medicine, Taizhou Hospital of Zhejiang Province, Wenzhou Medical University, Taizhou, China.
  • Peifeng Ni
    Zhejiang University School of Medicine, Zhejiang, 310006, Hangzhou, China.
  • Weidong Zhang
    Department of Automation, Shanghai Jiaotong University, Shanghai 200240, China. Electronic address: wdzhang@sjtu.edu.cn.
  • Chenxi Wu
    Center for Advanced Medical Computing and Analysis, Massachusetts General Hospital, 55 Fruit St, White 427, Boston, MA, 02114, USA.
  • Ying Zhu
    China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China.
  • Wei Hu
    State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China.