A comparison of machine learning models versus clinical evaluation for mortality prediction in patients with sepsis.
William P T M van DoornPatricia M StassenHella F BorggreveMaaike J SchalkwijkJudith StoffersOtto BekersSteven J R MeexPublished in: PloS one (2021)
Machine learning models outperformed internal medicine physicians and clinical risk scores in predicting 31-day mortality. These models are a promising tool to aid in risk stratification of patients presenting to the ED with sepsis.
Keyphrases
- machine learning
- clinical evaluation
- end stage renal disease
- cardiovascular events
- acute kidney injury
- intensive care unit
- primary care
- ejection fraction
- chronic kidney disease
- emergency department
- artificial intelligence
- septic shock
- risk factors
- newly diagnosed
- peritoneal dialysis
- big data
- cardiovascular disease
- deep learning
- case report