When triage data is used to predict MACE, death, and cardiac arrest, ANN with systemic grid search gives precise and valid outcomes and will benefit in predicting MACE in emergency rooms with limited resources that have to deal with a substantial number of patients.
Keyphrases
- emergency department
- neural network
- cardiac arrest
- end stage renal disease
- ejection fraction
- chronic kidney disease
- newly diagnosed
- public health
- prognostic factors
- left ventricular
- healthcare
- type diabetes
- heart failure
- metabolic syndrome
- adverse drug
- adipose tissue
- artificial intelligence
- deep learning
- atrial fibrillation
- glycemic control