Predicting Survival After Extracorporeal Membrane Oxygenation by Using Machine Learning
Author:
Publisher
Elsevier BV
Subject
Cardiology and Cardiovascular Medicine,Pulmonary and Respiratory Medicine,Surgery
Reference22 articles.
1. Extracorporeal membrane oxygenation (ECMO) and the critical cardiac patient;Baran;Curr Transplant Rep,2017
2. Trends in extracorporeal membrane oxygenation growth in the United States, 2011-2014;Stentz;ASAIO J,2019
3. Extracorporeal membrane oxygenation as a direct bridge to heart transplantation in adults;Fukuhara;J Thorac Cardiovasc Surg,2018
4. Extracorporeal membrane oxygenation use in cardiogenic shock: impact of age on in-hospital mortality, length of stay, and costs;Chung;Crit Care Med,2019
5. Mortality and costs following extracorporeal membrane oxygenation in critically ill adults: a population-based cohort study;Fernando;Intensive Care Med,2019
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1. A Deep Learning Framework for Predicting Patient Decannulation on Extracorporeal Membrane Oxygenation Devices: Development and Model Analysis Study;JMIR Biomedical Engineering;2024-02-02
2. Predicting Acute Brain Injury in Venoarterial Extracorporeal Membrane Oxygenation Patients with Tree-Based Machine Learning: Analysis of the Extracorporeal Life Support Organization Registry;2024-01-11
3. Utilizing Machine Learning to Predict Neurological Injury in Venovenous Extracorporeal Membrane Oxygenation Patients: An Extracorporeal Life Support Organization Registry Analysis;2023-12-22
4. Supervised machine learning model to predict mortality in patients undergoing venovenous extracorporeal membrane oxygenation from a nationwide multicentre registry;BMJ Open Respiratory Research;2023-12
5. Predicting Survival for Veno-Arterial ECMO Using Conditional Inference Trees—A Multicenter Study;Journal of Clinical Medicine;2023-09-28
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