Development of an automated, general-purpose prediction tool for postoperative respiratory failure using machine learning: A retrospective cohort study

Kiyatkin, M. E., Aasman, B., Fazzari, M. J., Rudolph, M. I., Vidal Melo, M. F., Eikermann, M., & Gong, M. N. (2023). Development of an automated, general-purpose prediction tool for postoperative respiratory failure using machine learning: A retrospective cohort study. Journal of Clinical Anesthesia, 90, 111194. https://doi.org/10.1016/j.jclinane.2023.111194
Authors:
Michael E Kiyatkin
Boudewijn Aasman
Melissa J Fazzari
Maíra I Rudolph
Marcos F Vidal Melo
Matthias Eikermann
Michelle N Gong
Affiliated Authors:
Marcos F Vidal Melo
Matthias Eikermann
Subjects:
Author Keywords:
machine learning
perioperative medicine
postoperative respiratory failure
preoperative prediction
Publication Type:
Article
Unique ID:
10.1016/j.jclinane.2023.111194
PMID:
Publication Date:
Data Source:
PubMed

Record Created: