Causal determinants of postoperative length of stay in cardiac surgery using causal graphical learning

Lee, J. J. R., Srinivasan, R., Ong, C. S., Alejo, D., Schena, S., Shpitser, I., Sussman, M., Whitman, G. J. R., & Malinsky, D. (2023). Causal determinants of postoperative length of stay in cardiac surgery using causal graphical learning. The Journal of Thoracic and Cardiovascular Surgery, 166(5), e446–e462. https://doi.org/10.1016/j.jtcvs.2022.08.012
Authors:
Jaron J R Lee
Ranjani Srinivasan
Chin Siang Ong
Diane Alejo
Stefano Schena
Ilya Shpitser
Marc Sussman
Glenn J R Whitman
Daniel Malinsky
Affiliated Authors:
Daniel Malinsky
Author Keywords:
aortic valve replacement
causal graph learning
causality
coronary artery bypass grafting
postoperative length of stay
Publication Type:
Article
Unique ID:
10.1016/j.jtcvs.2022.08.012
PMID:
Publication Date:
Data Source:
PubMed

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