Supervised Machine Learning Approach to Identify Early Predictors of Poor Outcome in Patients with COVID-19 Presenting to a Large Quaternary Care Hospital in New York City.

Jason E ZuckerAngela Gomez-SimmondsLawrence J PurpuraSherif ShoucriElijah LaSotaNicholas E MorleyBrit W SovicMarvin A CastellonDeborah A TheodoreLogan L BartramBenjamin A MikoMatthew L SchererKathrine A MeyersWilliam C TurnerMaureen KellyMartina PavlicovaCale N BasarabaMatthew R BaldwinDaniel BrodieKristin M BurkartJoan BathonAnne-Catrin UhlemannMichael T YinDelivette CastorMagdalena E Sobieszczyk

Published in: Journal of clinical medicine (2021)

Symptom duration in tandem with initial clinical and laboratory markers can be used to identify patients with COVID-19 at increased risk for poor outcomes.

Keyphrases

machine learning
healthcare
artificial intelligence
palliative care
big data
deep learning
type diabetes
emergency department
patient reported
insulin resistance