Application of supervised machine learning algorithms to predict the risk of hidden blood loss during the perioperative period in thoracolumbar burst fracture patients complicated with neurological compromise

• Main Authors: Bo Yang (Author), Lin Gao (Author), Xingang Wang (Author), Jianmin Wei (Author), Bin Xia (Author), Xiangwei Liu (Author), Peng Zheng (Author)
• Format: Book
• Published: Frontiers Media S.A., 2022-09-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

BackgroundMachine learning (ML) is a type of artificial intelligence (AI) and has been utilized in clinical research and practice to construct high-performing prediction models. Hidden blood loss (HBL) is prevalent during the perioperative period of spinal treatment and might result in a poor progno...