Machine Learning for Prediction of Patients on Hemodialysis with an Undetected SARS-CoV-2 Infection.

Caitlin K MonaghanJohn W LarkinSheetal ChaudhuriHao HanYue JiaoKristine M BermudezEric D WeinhandlInes A Dahne-SteuberKathleen BelmonteLuca NeriPeter KotankoJeroen P KoomanJeffrey L HymesRobert J KossmannLen A UsvyatFranklin W Maddux

Published in: Kidney360 (2021)

The developed ML model appears suitable for predicting patients on HD at risk of having COVID-19 at least 3 days before there would be a clinical suspicion of the disease.

Keyphrases

end stage renal disease
chronic kidney disease
machine learning
peritoneal dialysis
ejection fraction
newly diagnosed
coronavirus disease
prognostic factors
patient reported outcomes