Prediction of post-traumatic stress disorder in family members of ICU patients: a machine learning approach.
Thibault DupontNancy Kentish-BarnesFrédéric PochardEdouard DuchesnayElie AzoulayPublished in: Intensive care medicine (2023)
We propose a machine learning-based approach to predict PTSD in relatives of ICU patients at an individual level. In this model, PTSD is mostly influenced by non-modifiable factors.
Keyphrases
- machine learning
- end stage renal disease
- intensive care unit
- social support
- ejection fraction
- newly diagnosed
- artificial intelligence
- chronic kidney disease
- posttraumatic stress disorder
- mechanical ventilation
- peritoneal dialysis
- prognostic factors
- depressive symptoms
- patient reported outcomes
- acute respiratory distress syndrome
- extracorporeal membrane oxygenation
- patient reported