Machine learning-based prediction of clinical outcomes after traumatic brain injury: Hidden information of early physiological time series.

Abstract

Authors

• Ruifeng Ding
  School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China.
• Mengqiu Deng
  Department of Anesthesiology, Changzheng Hospital, Second Affiliated Hospital of Naval Medical University, Shanghai, China.
• Huawei Wei
  Department of Anesthesiology, Changzheng Hospital, Second Affiliated Hospital of Naval Medical University, Shanghai, China.
• Yixuan Zhang
• Liangtian Wei
  Jiangsu Province Key Laboratory of Anesthesiology, Xuzhou Medical University, Xuzhou, China.
• Guowei Jiang
  Department of Neurosurgery, Anhui No. 2 Provincial People's Hospital, Hefei, Anhui, China.
• Hongwei Zhu
  Department of Hepatopancreatobiliary Surgery, The Third Xiangya Hospital, Central South University, Changsha, Hunan, P.R. China.
• Xingshuai Huang
  Department of Anesthesiology, Changzheng Hospital, Second Affiliated Hospital of Naval Medical University, Shanghai, China.
• Hailong Fu
  Department of Anesthesiology, Changzheng Hospital, Second Military Medical University, No.415 Fengyang Road, Shanghai, 200003, China.
• Shuang Zhao
  Department of Microelectronics, Nankai University, Tianjin, 300350, PR China.
• Hongbin Yuan
  Department of Anesthesiology, Changzheng Hospital, Second Military Medical University, No.415 Fengyang Road, Shanghai, 200003, China. jfjczyy@aliyun.com.

Keywords

External Resources