Current state of artificial intelligence-based algorithms for hospital admission prediction in patients with heart failure: a scoping review .

P M CroonJ L SelderCornelis P AllaartH BleijendaalS A J ChamuleauL HofstraI IšgumK A ZiesemerM M Winter

Published in: European heart journal. Digital health (2022)

AI has the potential to enable prediction of hospital admission in HF patients. Improvement of data management, adding new data sources such as telemonitoring data and ML models and prospective and external validation of current models must be performed before clinical applicability is possible.

Keyphrases

artificial intelligence
big data
machine learning
deep learning
electronic health record
emergency department
healthcare
end stage renal disease
newly diagnosed
ejection fraction
prognostic factors
adverse drug
acute care
peritoneal dialysis
human health