[Research on grading prediction model of traumatic hemorrhage volume based on deep learning].

Journal: Zhonghua wei zhong bing ji jiu yi xue
PMID:

Abstract

OBJECTIVE: To develop a grading prediction model of traumatic hemorrhage volume based on deep learning and assist in predicting traumatic hemorrhage volume.

Authors

  • Chengyu Guo
    School of Medicine, Nankai University, Tianjin 300071, China.
  • Youfang Han
    School of Software, Tsinghua University, Beijing 100083, China. Corresponding author: Li Tanshi, Email: lts301@163.com.
  • Minghui Gong
    School of Software, Tsinghua University, Beijing 100083, China. Corresponding author: Li Tanshi, Email: lts301@163.com.
  • Hongliang Zhang
    Department of Computer Science and Artificial Intelligence, Wenzhou University, Wenzhou, 325035, China. Electronic address: zhang1hongliang@163.com.
  • Junkang Wang
    Department of Emergency, First Medical Center, General Hospital of the PLA, Beijing 100853, China.
  • Ruizhi Zhang
    Department of Emergency, First Medical Center, General Hospital of the PLA, Beijing 100853, China.
  • Bing Lu
    School of Electrical and Information Engineering of Jiangsu University, Zhenjiang 212013, China.
  • Chunping Li
    School of Software, Tsinghua University, Beijing 100083, China. Corresponding author: Li Tanshi, Email: lts301@163.com.
  • Tanshi Li
    General Hospital of PLA, Beijing 100853, P.R.China.