Efficient Model for Coronary Artery Disease Diagnosis: A Comparative Study of Several Machine Learning Algorithms.
Ali GaravandCirruse SalehnasabAli BehmaneshNasim AslaniAmin Hassan ZadehMustafa GhaderzadehPublished in: Journal of healthcare engineering (2022)
. It can become the basis for developing clinical decision support systems. SVM and RF algorithms had the highest efficiency and could diagnose CAD based on patient examination data. It is suggested that further studies be performed using these algorithms to diagnose coronary artery disease to obtain more accurate results.
Keyphrases
- machine learning
- coronary artery disease
- clinical decision support
- big data
- electronic health record
- artificial intelligence
- percutaneous coronary intervention
- cardiovascular events
- deep learning
- coronary artery bypass grafting
- case report
- high resolution
- type diabetes
- left ventricular
- atrial fibrillation
- mass spectrometry
- case control
- data analysis