Artificial neural network-based prediction of prolonged length of stay and need for post-acute care in acute coronary syndrome patients undergoing percutaneous coronary intervention.
Journal:
European journal of clinical investigation
PMID:
33043432
Abstract
BACKGROUND: Prolonged length of stay (LOS) and post-acute care after percutaneous coronary intervention (PCI) is common and costly. Risk models for predicting prolonged LOS and post-acute care have limited accuracy. Our goal was to develop and validate models using artificial neural networks (ANN) to predict prolonged LOS > 7days and need for post-acute care after PCI.
Authors
Keywords
Acute Coronary Syndrome
Aged
Angina, Unstable
Female
Hospices
Hospitals, Rehabilitation
Humans
Length of Stay
Male
Middle Aged
Neural Networks, Computer
Non-ST Elevated Myocardial Infarction
Nursing Homes
Patient Discharge
Percutaneous Coronary Intervention
Risk Assessment
Skilled Nursing Facilities
ST Elevation Myocardial Infarction
Subacute Care
Transitional Care