Some Methods for Substantiating Diagnostic Decisions Made Using Machine Learning Algorithms

Some Methods for Substantiating Diagnostic Decisions Made Using Machine Learning Algorithms

Various classification algorithms used in the diagnosis of breast cancer based on microwave radiometry data are considered. In particular, their principles of operation and the possibility of substantiating diagnoses using numerical data are discussed. A substantiation algorithm based on decision tr...

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Veröffentlicht in:Biomedical engineering 2022-03, Vol.55 (6), p.442-447
Hauptverfasser: Losev, A. G., Popov, I. E., Petrenko, A. Yu, Gudkov, A. G., Vesnin, S. G., Chizhikov, S. V.
Format: Artikel
Sprache:eng
Schlagworte:
Accuracy
Algorithms
Analysis
Bayesian analysis
Biomaterials
Biomedical and Life Sciences
Biomedicine
Breast cancer
Data mining
Decision making
Decision trees
Engineering
Machine learning
Mathematical models
Measurement
Methods
Microwave radiometers
Neural networks
Neurons
Patients
Radiation
Radiometry
Skin
Temperature
Values
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Zusammenfassung:Various classification algorithms used in the diagnosis of breast cancer based on microwave radiometry data are considered. In particular, their principles of operation and the possibility of substantiating diagnoses using numerical data are discussed. A substantiation algorithm based on decision trees and a naive Bayesian classifier is presented. Examples of substantiation are given for breast cancer.
ISSN:0006-3398
1573-8256
DOI:10.1007/s10527-022-10153-y