Predicting acute kidney injury in critically ill patients using comorbid conditions utilizing machine learning.
Khaled ShawwaErina GhoshStephanie LaniusEmma H SchwagerLarry EshelmanKianoush B KashaniPublished in: Clinical kidney journal (2020)
Using machine learning, AKI among ICU patients can be predicted using information available prior to admission. This model is independent of ICU information, making it valuable for stratifying patients at admission.
Keyphrases
- machine learning
- intensive care unit
- end stage renal disease
- emergency department
- newly diagnosed
- ejection fraction
- chronic kidney disease
- mechanical ventilation
- acute kidney injury
- health information
- prognostic factors
- artificial intelligence
- patient reported outcomes
- acute respiratory distress syndrome
- patient reported