机器学习在轻度创伤性脑损伤预后中的应用:系统性审查

Patrick F Yao1, Pranjan A Gandhi, Eric P McMullen

  • 1From the Michael G. DeGroote School of Medicine, McMaster University, Hamilton, ON, Canada (P.F.Y., P.A.G., E.P.M.); Department of Computer Science, University of Western Ontario, London, ON, Canada (M.M.); and Division of Physical Medicine and Rehabilitation, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada (J.L.).

概括

机器学习显示出预测轻度创伤性脑损伤结果的前景. 需要进一步的研究,以减少偏见和标准化临床采用患者定义.