Application of Computer Simulation Results and Machine Learning in the Analysis of Microwave Radiothermometry Data

This work was done with the aim of developing the fundamental breast cancer early differential diagnosis foundations based on modeling the spacetime temperature distribution using the microwave radiothermometry method and obtained data intelligent analysis. The article deals with the machine learnin...

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Bibliographic Details
Published in:Mathematical Physics and Computer Modeling 2021-07, Vol.24 (2), p.27-37
Main Authors: Polyakov, Maxim, Popov, Illarion, Losev, Alexander, Khoperskov, Alexander
Format: Article
Language:English
Subjects:
Adequacy
Algorithms
Computer simulation
Data analysis
Decision trees
Machine learning
Mammary glands
Support vector machines
Temperature distribution
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Summary:This work was done with the aim of developing the fundamental breast cancer early differential diagnosis foundations based on modeling the spacetime 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, Knearest neighbors, etc.) usage, the mammary glands temperature fields computer models set adequacy.
ISSN:2587-6325
2587-6902
DOI:10.15688/mpcm.jvolsu.2021.2.3