Predicting Tracheostomy Need on Admission to the Intensive Care Unit-A Multicenter Machine Learning Analysis.

Matthew Nguyen Ameen Amanian Meihan WeiEitan PrismanPedro Alejandro Mendez-Tellez

Published in: Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery (2024)

Our machine learning model accurately predicts the probability that a patient will eventually require a tracheostomy upon ICU admission, and upon prospective validation, we have the potential to institute earlier interventions and reduce the complications of prolonged ventilation.

Keyphrases

machine learning
mechanical ventilation
emergency department
intensive care unit
acute respiratory distress syndrome
artificial intelligence
respiratory failure
big data
physical activity
case report
risk factors
deep learning
risk assessment
extracorporeal membrane oxygenation