A Simple Algorithm Using Ventilator Parameters to Predict Successfully Rapid Weaning Program in Cardiac Intensive Care Unit Patients.

Wei-Teing ChenHai-Lun Huang Pi-Shao KoWen SuChung-Cheng KaoSui-Lung Su

Published in: Journal of personalized medicine (2022)

The model developed in this research successfully predicted the weaning success of ICU patients using a few and easily accessible parameters such as age. Therefore, it can be used in clinical practice to identify difficult-to-wean patients to improve their treatment.

Keyphrases

end stage renal disease
intensive care unit
newly diagnosed
chronic kidney disease
peritoneal dialysis
prognostic factors
machine learning
heart failure
atrial fibrillation
left ventricular
quantum dots
smoking cessation
neural network