Expected and observed in-hospital mortality in heart failure patients before and during the COVID-19 pandemic: Introduction of the machine learning-based standardized mortality ratio at Helios hospitals.

Sebastian KönigVincent PellissierJohannes LeinerSven HohensteinLaura UeberhamAndreas Meier-HellmannRalf KuhlenGerhard HindricksAndreas Bollmannnull null

Published in: Clinical cardiology (2021)

Applying an ML algorithm to calculate expected inpatient mortality based on administrative data, there was no excess death above expected event rates in HF patients during the COVID-19 pandemic.

Keyphrases

machine learning
ejection fraction
end stage renal disease
cardiovascular events

newly diagnosed
big data
chronic kidney disease
healthcare

prognostic factors
peritoneal dialysis
palliative care
heart failure

cardiovascular disease
coronary artery disease
neural network