A Least Absolute Shrinkage and Selection Operator-Derived Predictive Model for Postoperative Respiratory Failure in a Heterogeneous Adult Elective Surgery Patient Population

Postoperative respiratory failure (PRF) is associated with increased hospital charges and worse patient outcomes. Reliable prediction models can help to guide postoperative planning to optimize care, to guide resource allocation, and to foster shared decision-making with patients. Can a predictive m...

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Veröffentlicht in:	CHEST critical care 2023-12, Vol.1 (3), p.100025, Article 100025
Hauptverfasser:	Stocking, Jacqueline C., Taylor, Sandra L., Fan, Sili, Wingert, Theodora, Drake, Christiana, Aldrich, J. Matthew, Ong, Michael K., Amin, Alpesh N., Marmor, Rebecca A., Godat, Laura, Cannesson, Maxime, Gropper, Michael A., Utter, Garth H., Sandrock, Christian E., Bime, Christian, Mosier, Jarrod, Subbian, Vignesh, Adams, Jason Y., Kenyon, Nicholas J., Albertson, Timothy E., Garcia, Joe G.N., Abraham, Ivo
Format:	Artikel
Sprache:	eng
Schlagworte:	bootstrapping least absolute shrinkage and selection operator phenotyping postoperative predictive model respiratory failure
Online-Zugang:	Volltext
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