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...
Sparad:
| Huvudupphovsmän: | , , , |
|---|---|
| Materialtyp: | Artikel |
| Språk: | engelska |
| Publicerad: |
Academia.edu Journals
2025-05-01
|
| Serie: | Academia Medicine |
| Länkar: | https://www.academia.edu/129632610/Machine_learning_algorithms_to_detect_patient_ventilator_asynchrony_a_feasibility_study |
| Taggar: |
Lägg till en tagg
Inga taggar, Lägg till första taggen!
|