2021
DOI: 10.1186/s12911-021-01506-w
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Machine learning predicts mortality based on analysis of ventilation parameters of critically ill patients: multi-centre validation

Abstract: Background Mechanical Ventilation (MV) is a complex and central treatment process in the care of critically ill patients. It influences acid–base balance and can also cause prognostically relevant biotrauma by generating forces and liberating reactive oxygen species, negatively affecting outcomes. In this work we evaluate the use of a Recurrent Neural Network (RNN) modelling to predict outcomes of mechanically ventilated patients, using standard mechanical ventilation parameters. … Show more

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Cited by 14 publications
(5 citation statements)
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“…For example, adaptive support ventilation, an automated closed-loop mode of ventilation, provides the best combination of V T and respiratory rate (RR), to achieve the lowest work of breathing combined with the lowest driving pressure (Δ P ) and may outperform healthcare professionals with respect to V T titration [ 13 ]. Finally, the use of artificial intelligence to develop a personalized clinical decision support tool could provide needed support to bedside clinicians [ 14 ].…”
Section: Introductionmentioning
confidence: 99%
“…For example, adaptive support ventilation, an automated closed-loop mode of ventilation, provides the best combination of V T and respiratory rate (RR), to achieve the lowest work of breathing combined with the lowest driving pressure (Δ P ) and may outperform healthcare professionals with respect to V T titration [ 13 ]. Finally, the use of artificial intelligence to develop a personalized clinical decision support tool could provide needed support to bedside clinicians [ 14 ].…”
Section: Introductionmentioning
confidence: 99%
“…In contrast, significantly more mechanically ventilated patients were found in the "sedatives" and "street drugs" subgroups, with these individuals again contributing the highest numerical proportion of non-survivors. This possibly underlines the need for reversibility of intoxication, as mechanical ventilation per se is a known and relatively invasive ICU measure and independent predictor of ICU mortality [ 24 ].…”
Section: Discussionmentioning
confidence: 99%
“…Machine learning has shown to identify the stage and level of AKI, which has helped to apply proper medication treatment, recovery for the mild and control the severe conditions. In case of comorbidities or critical conditions, the hospital mortality is thought to be an important prediction [ 41 ]. There are more features available for such cases, as it involves distinct ICU parameters.…”
Section: Related Workmentioning
confidence: 99%