Using artificial intelligence to predict mortality in AKI patients: a systematic review/meta-analysis.
Rupesh RainaRaghav ShahPaul NemerJared FehlmenLena NemerAli MurraAbhishek TibrewalSidharth Kumar SethiJavier A NeyraJay KoynerPublished in: Clinical kidney journal (2024)
Our results show that BLS and ENF models are equally effective as other ML models in predicting in-hospital mortality, with variability across all models. Additional studies are needed.
Keyphrases
- artificial intelligence
- systematic review
- end stage renal disease
- machine learning
- big data
- deep learning
- chronic kidney disease
- ejection fraction
- newly diagnosed
- acute kidney injury
- case control
- prognostic factors
- peritoneal dialysis
- randomized controlled trial
- cardiovascular disease
- risk factors
- type diabetes
- patient reported outcomes
- coronary artery disease