An interpretable 1D convolutional neural network for detecting patient-ventilator asynchrony in mechanical ventilation
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Title
An interpretable 1D convolutional neural network for detecting patient-ventilator asynchrony in mechanical ventilation
Authors
Keywords
Mechanical ventilation, Patient-ventilator asynchrony, Deep learning, Convolutional neural network, Class activation map, Interpretability
Journal
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
Volume 204, Issue -, Pages 106057
Publisher
Elsevier BV
Online
2021-03-20
DOI
10.1016/j.cmpb.2021.106057
References
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