Intelligent prediction of major adverse cardiovascular events (MACCE) following percutaneous coronary intervention using ANFIS-PSO model.
Sahar Dehdar KarsidaniMaryam FarhadianHossein MahjubAzadeh Mozayani MonfaredPublished in: BMC cardiovascular disorders (2022)
The predictive performance of ANFIS-PSO is more efficient than the other models in the prediction of MACCE. It is recommended to use this model for intelligent monitoring, classification of high-risk patients and allocation of necessary medical and health resources based on the needs of these patients. However, the clinical value of these findings should be tested in a larger dataset.
Keyphrases
- end stage renal disease
- cardiovascular events
- percutaneous coronary intervention
- ejection fraction
- healthcare
- coronary artery disease
- newly diagnosed
- chronic kidney disease
- public health
- peritoneal dialysis
- type diabetes
- prognostic factors
- acute myocardial infarction
- emergency department
- risk assessment
- deep learning
- patient reported outcomes
- coronary artery bypass grafting
- social media
- left ventricular
- antiplatelet therapy
- adverse drug
- coronary artery bypass