Machine learning algorithms to detect patient–ventilator asynchrony: a feasibility study
Background: Effective ventilatory support requires regular assessments of patient–ventilator interactions. Developing a dependable, automated method for this evaluation is crucial. We explored the feasibility of using machine learning algorithms to replicate the assessment of breathing pa...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Academia.edu Journals
2025-05-01
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| Series: | Academia Medicine |
| Online Access: | https://www.academia.edu/129632610/Machine_learning_algorithms_to_detect_patient_ventilator_asynchrony_a_feasibility_study |
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