Deep learning prediction of likelihood of ICU admission and mortality in COVID-19 patients using clinical variables.
Xiaoran LiPeilin GeJocelyn ZhuHaifang LiJames GrahamAdam J SingerPaul S RichmanTimothy Q DuongPublished in: PeerJ (2020)
Deep learning and the resultant risk score have the potential to provide frontline physicians with quantitative tools to stratify patients more effectively in time-sensitive and resource-constrained circumstances.
Keyphrases
- deep learning
- end stage renal disease
- ejection fraction
- chronic kidney disease
- newly diagnosed
- artificial intelligence
- intensive care unit
- sars cov
- emergency department
- machine learning
- convolutional neural network
- peritoneal dialysis
- cardiovascular events
- prognostic factors
- high resolution
- cardiovascular disease
- risk assessment
- coronary artery disease
- mechanical ventilation
- patient reported