An artificial intelligence system to predict the optimal timing for mechanical ventilation weaning for intensive care unit patients: A two-stage prediction approach

An artificial intelligence system to predict the optimal timing for mechanical ventilation weaning for intensive care unit patients: A two-stage prediction approach

BackgroundFor the intensivists, accurate assessment of the ideal timing for successful weaning from the mechanical ventilation (MV) in the intensive care unit (ICU) is very challenging.PurposeUsing artificial intelligence (AI) approach to build two-stage predictive models, namely, the try-weaning st...

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Bibliographic Details
Main Authors: Chung-Feng Liu, Chao-Ming Hung, Shian-Chin Ko, Kuo-Chen Cheng, Chien-Ming Chao, Mei-I Sung, Shu-Chen Hsing, Jhi-Joung Wang, Chia-Jung Chen, Chih-Cheng Lai, Chin-Ming Chen, Chong-Chi Chiu
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-11-01
Series:Frontiers in Medicine
Subjects:
artificial intelligence
machine learning
intensive care unit
weaning mechanical ventilation
optimal weaning timing
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2022.935366/full

Internet

https://www.frontiersin.org/articles/10.3389/fmed.2022.935366/full

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