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Developing a machine-learning model for real-time predictio..:
Kuo-Yang Huang
;
Ying-Lin Hsu
;
Huang-Chi Chen
...
https://www.frontiersin.org/articles/10.3389/fmed.2023.1167445/full. , 2023
Link:
https://doi.org/10.3389/fmed.2023.1167445
RT Journal T1
Developing a machine-learning model for real-time prediction of successful extubation in mechanically ventilated patients using time-series ventilator-derived parameters
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:457eda916438477c923f68f603a3b715&Exemplar=1&LAN=DE A1 Kuo-Yang Huang A1 Ying-Lin Hsu A1 Huang-Chi Chen A1 Ming-Hwarng Horng A1 Che-Liang Chung A1 Ching-Hsiung Lin A1 Jia-Lang Xu A1 Ming-Hon Hou PB Frontiers Media S.A. YR 2023 K1 extubation K1 intensive care unit K1 machine learning K1 mechanical ventilation K1 prediction model K1 Medicine (General) K1 R5-920 JF https://www.frontiersin.org/articles/10.3389/fmed.2023.1167445/full LK http://dx.doi.org/https://doi.org/10.3389/fmed.2023.1167445 DO https://doi.org/10.3389/fmed.2023.1167445 SF ELIB - SuUB Bremen
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