Automatic detection of ventilatory modes during invasive mechanical ventilation.

Gastón MuriasJaume MontanyàEncarna ChacónAnna EstrugaCarles SubiràRafael FernándezBernat SalesCandelaria de HaroJosefina López-AguilarUmberto LucangeloJesús VillarRobert M KacmarekLluís Blanch

Published in: Critical care (London, England) (2016)

The computerized algorithm can reliably identify ventilatory mode.

Keyphrases

mechanical ventilation
deep learning
acute respiratory distress syndrome
machine learning
intensive care unit
respiratory failure
neural network
loop mediated isothermal amplification
label free
clinical decision support
real time pcr
extracorporeal membrane oxygenation