José Barahona Yáñez1,2,3, Daniel E Hurtado1,2,4

  • 1Department of Structural and Geotechnical Engineering, School of Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile.

Frontiers in physiology
|October 10, 2025
PubMed
概括

这项研究引入了减少顺序多忠度神经网络 (rMFNN),用于在机械通风过程中准确和快速地预测肺机械的数字双胞胎. rMFNN显著加快了针对个性化治疗的患者特定呼吸道建模.