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
Columbia Affiliation:
Subjects:
Respiratory Insufficiency
(MeSH)
Anesthetics
(MeSH)
Publication Type:
Article
Unique ID:
10.1016/j.jclinane.2023.111194
PMID:
Journal:
Publication Date:
Data Source:
PubMed
Source Link: