  This work was done with the aim of developing the fundamental breast cancer
early differential diagnosis foundations based on modeling the space-time
temperature distribution using the microwave radiothermometry method and
obtained data intelligent analysis. The article deals with the machine learning
application in the microwave radiothermometry data analysis. The problems
associated with the construction mammary glands temperature fields computer
models for patients with various diagnostics classes, are also discussed. With
the help of a computer experiment, based on the machine learning algorithms set
(logistic regression, naive Bayesian classifier, support vector machine,
decision tree, gradient boosting, K-nearest neighbors, etc.) usage, the mammary
glands temperature fields computer models set adequacy.
