Hospital mortality prediction in traumatic injuries patients: comparing different SMOTE-based machine learning algorithms.
Roghayyeh HassanzadehMaryam FarhadianHassan RafieemehrPublished in: BMC medical research methodology (2023)
This study has shown that SMOTE-based ML algorithms better predict outcomes in traumatic injuries than ML algorithms. They have the potential to assist ICU physicians in making clinical decisions.
Keyphrases
- machine learning
- spinal cord injury
- deep learning
- end stage renal disease
- artificial intelligence
- newly diagnosed
- big data
- ejection fraction
- chronic kidney disease
- prognostic factors
- healthcare
- intensive care unit
- peritoneal dialysis
- cardiovascular disease
- adipose tissue
- emergency department
- risk assessment
- climate change
- metabolic syndrome
- weight loss
- insulin resistance
- patient reported
- drug induced