:

Jong-Ho Kim1,2, Bo-Reum Cheon1, Min-Guan Kim1

  • 1Department of Anesthesiology and Pain Medicine, Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, Chuncheon 24253, Republic of Korea.

PubMed
概括

机器学习有效地预测术后肺部并发症 (PPC) 并确定关键预测特征. 使用这些重要特征的缩小模型显示出临床应用的可行性.