Development and validation of a machine learning-based model for predicting intraoperative blood loss during burn surgery.

Journal: Surgery
Published Date:

Abstract

BACKGROUND: Intraoperative blood loss is a critical issue in the care of patients with burns. The timely identification of patients at elevated risk for substantial blood loss during surgical procedures is imperative.

Authors

  • Fangqing Zuo
    State Key Laboratory of Trauma and Chemical Poisoning, Institute of Burn Research, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China.
  • Jiaqing Su
    Department of Burn and Plastic Surgery, PLA 77th Group Army Hospital, Leshan, China.
  • Yang Li
    Occupation of Chinese Center for Disease Control and Prevention, Beijing, China.
  • Haiming Xin
    Department of Burn and Plastic Surgery, 924th Hospital of Joint Logistics Support Force of the PLA, Guilin, China.
  • Chunhao Li
    Department of Urology, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China.
  • Lina Huang
    Department of Radiology, Changshu No. 2 People's Hospital, The Affiliated Changshu Hospital of Xuzhou Medical University, Changshu, China.
  • Lijuan Zhang
    School of Computer Science and Engineering, Changchun University of Technology, Jilin 130012, China.
  • Junda Li
    Hospital of Stomatology, Guanghua School of Stomatology, Sun Yat-Sen University, Guangdong Provincial Key Laboratory of Stomatology, Guangzhou, 510055, China.
  • Zhuo Zeng
    School of Xihua University, Sichuan, 610000, China.
  • Yu Chen
    State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, China.
  • Yali Gong
    State Key Laboratory of Trauma and Chemical Poisoning, Institute of Burn Research, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China.
  • Jing Chen
    Department of Vascular Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi 530021, P.R. China.
  • Yingying Lan
    State Key Laboratory of Trauma and Chemical Poisoning, Institute of Burn Research, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China.
  • Yajie Chen
  • Cheng Zhang
    College of Forestry, Jiangxi Agricultural University, Nanchang, Jiangxi Province, China.
  • Yizhi Peng
    State Key Laboratory of Trauma and Chemical Poisoning, Institute of Burn Research, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China.
  • Gaoxing Luo
    Institute of Burn Research, Southwest Hospital, Third Military Medical University, Chongqing, China. Electronic address: logxw@hotmail.com.
  • Zhiqiang Yuan
    Department of ultrasound, West China Hospital, Sichuan University, Chengdu, 610041, China.

Keywords

No keywords available for this article.