Supervised machine learning model to predict mortality in patients undergoing venovenous extracorporeal membrane oxygenation from a nationwide multicentre registry.
Haeun LeeMyung Jin SongYoung-Jae ChoDong Jung KimSang-Bum HongSe Young JungSung Yoon LimPublished in: BMJ open respiratory research (2023)
ML prediction models outperformed previous mortality risk models. This model may be used to identify patients who are unlikely to benefit from VV-ECMO therapy during patient selection.
Keyphrases
- extracorporeal membrane oxygenation
- acute respiratory distress syndrome
- machine learning
- patients undergoing
- respiratory failure
- end stage renal disease
- ejection fraction
- chronic kidney disease
- clinical trial
- prognostic factors
- cross sectional
- cardiovascular events
- study protocol
- artificial intelligence
- mechanical ventilation
- risk factors
- stem cells
- intensive care unit
- cardiovascular disease
- patient reported outcomes
- coronary artery disease
- mesenchymal stem cells
- cell therapy