Artificial intelligence and machine learning in cardiovascular computed tomography

Table 1 Type of machine learning

Types of machine learning	Function	Examples
Supervised learning (55)	Contains labels and outcomes, deduces inferences for prediction purpose	Includes logistic regression, ridge regression, elastic net regression, Bayesian and artificial neural networks
Unsupervised learning (55)	No labels, independently detects significant relationships.	Includes hierarchical clustering, k- means clustering, principal component analysis
Semi-supervised learning (55)	Properties of both supervised and unsupervised learning	Utilized in image and speech recognition
Re-enforcement learning (55)	Utilizes reward function to execute tasks	Utilized in medical imaging, analytics, and prescription selection