Machine learning based predictive modeling of readmissions following extracorporeal membrane oxygenation hospitalizations

Machine learning based predictive modeling of readmissions following extracorporeal membrane oxygenation hospitalizations

Background: Despite increasing utilization and survival benefit over the last decade, extracorporeal membrane oxygenation (ECMO) remains resource-intensive with significant complications and rehospitalization risk. We thus utilized machine learning (ML) to develop prediction models for 90-day nonele...

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Bibliographic Details
Main Authors: Jeffrey Balian, Sara Sakowitz, MS, MPH, Arjun Verma, BS, Amulya Vadlakonda, BS, Emma Cruz, Konmal Ali, Peyman Benharash, MD
Format: Article
Language:English
Published: Elsevier 2024-06-01
Series:Surgery Open Science
Subjects:
Extracorporeal membrane oxygenation
ECMO
Machine learning
XGBoost
National Readmissions Database
HCUP
Online Access:http://www.sciencedirect.com/science/article/pii/S2589845024000538

Internet

http://www.sciencedirect.com/science/article/pii/S2589845024000538

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