Early Prediction of COVID-19 Ventilation Requirement and Mortality from Routinely Collected Baseline Chest Radiographs, Laboratory, and Clinical Data with Machine Learning.
Abdulrhman Fahad AljouieAhmed AlmazroaYahya BokhariMohammed AlawadEbrahim MahmoudEman AlawadAli AlsehawiMamoon RashidLamya AlomairShahad AlmozaaiBedoor AlbesherHassan AlomaishRayyan DaghistaniNaif Khalaf AlharbiManal AlaameryMohammad BosaeedHesham AlshaalanPublished in: Journal of multidisciplinary healthcare (2021)
The experimental results demonstrate the practicality of the proposed COVID-19 predictive tool for hospital resource planning and patients' prioritization in the current COVID-19 pandemic crisis.
Keyphrases
- coronavirus disease
- sars cov
- machine learning
- end stage renal disease
- newly diagnosed
- chronic kidney disease
- healthcare
- prognostic factors
- peritoneal dialysis
- emergency department
- type diabetes
- electronic health record
- cardiovascular events
- artificial intelligence
- risk factors
- cardiovascular disease
- acute care
- adverse drug