Current trends of artificial intelligence in cancer imaging

Table 1 Most commonly adopted alghoritms in supervised machine learning

ML technique	ML alghoritms	Description
Linear	(1) Linear regression; and (2) Logistic regression	Linear methods are used to modelling the relationship between the dependent variable and one or more independent variables
Nonlinear	(1) Naive Bayes; (2) Decision tree; (3) k-Nearest Neighbors; (4) Support vector machines; and (5) Neural network	Nonlinear approaches are used to produce predictive insights depending on nonlinear relationships in experimental data
Ensemble	(1) Random forest; (2) Bootstrap aggregation; and (3) Stacked generalization	Ensemble techniques stack multiple models in order to improve prediction robustness and provide more accurate predictions than any individual model

ML: Machine learning.