Machine-learning approach uncovers hemodynamic-driven phenotypes in cardiac surgery by clustering multimodal, high-dimensional perioperative data
机器学习方法通过对多模态、高维围手术期数据进行聚类,揭示心脏手术中由血流动力学驱动的表型。
期刊:International Journal of Surgery
影响因子:10.1
doi:10.1097/JS9.0000000000004536
Kong, Siyu; Ning, Xiao; Sun, Jie; Ding, Ke; Hu, Jing; Zhou, Xiao; Ge, Yali; Liu, Xuesheng; Yang, Fan; Zhang, Zhimin; Chen, Lihai; Shi, Hongwei; Zhou, Jifang