Construction and clinical visualization application of a predictive model for mortality risk in sepsis patients based on an improved machine learning model.

Abstract

Authors

• Ting Chen
  CAS Key Laboratory of Tropical Marine Bio-resources and Ecology (LMB), Guangdong Provincial Key Laboratory of Applied Marine Biology (LAMB), South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China. chan1010@scsio.ac.cn.
• Xuefeng Zhang
  Department of Urology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
• Qunfeng Yu
  Intensive Care Unit of Longyou County People's Hospital, Quzhou, Zhejiang, China.
• Qin Yang
  State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha 410082, China; School of Physics and Optoelectronic Engineering, Yangtze University, Jingzhou 434023, China.
• Lingmin Yuan
  Intensive Care Unit of Longyou County People's Hospital, Quzhou, Zhejiang, China.
• Fei Tong
  Department of Cardiology, Shengjing Hospital of China Medical University, Shenyang, China.

Keywords

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