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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Detalles Bibliográficos
Autores principales: Losev, A. G., Popov, I. E., Petrenko, A. Yu., Gudkov, A. G., Vesnin, S. G., Chizhikov, S. V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8898747/
https://www.ncbi.nlm.nih.gov/pubmed/35283490
http://dx.doi.org/10.1007/s10527-022-10153-y
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author Losev, A. G.
Popov, I. E.
Petrenko, A. Yu.
Gudkov, A. G.
Vesnin, S. G.
Chizhikov, S. V.
author_facet Losev, A. G.
Popov, I. E.
Petrenko, A. Yu.
Gudkov, A. G.
Vesnin, S. G.
Chizhikov, S. V.
author_sort Losev, A. G.
collection PubMed
description 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.
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spelling pubmed-88987472022-03-07 Some Methods for Substantiating Diagnostic Decisions Made Using Machine Learning Algorithms Losev, A. G. Popov, I. E. Petrenko, A. Yu. Gudkov, A. G. Vesnin, S. G. Chizhikov, S. V. Biomed Eng (NY) Article 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. Springer US 2022-03-07 2022 /pmc/articles/PMC8898747/ /pubmed/35283490 http://dx.doi.org/10.1007/s10527-022-10153-y Text en © Springer Science+Business Media, LLC, part of Springer Nature 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Losev, A. G.
Popov, I. E.
Petrenko, A. Yu.
Gudkov, A. G.
Vesnin, S. G.
Chizhikov, S. V.
Some Methods for Substantiating Diagnostic Decisions Made Using Machine Learning Algorithms
title Some Methods for Substantiating Diagnostic Decisions Made Using Machine Learning Algorithms
title_full Some Methods for Substantiating Diagnostic Decisions Made Using Machine Learning Algorithms
title_fullStr Some Methods for Substantiating Diagnostic Decisions Made Using Machine Learning Algorithms
title_full_unstemmed Some Methods for Substantiating Diagnostic Decisions Made Using Machine Learning Algorithms
title_short Some Methods for Substantiating Diagnostic Decisions Made Using Machine Learning Algorithms
title_sort some methods for substantiating diagnostic decisions made using machine learning algorithms
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8898747/
https://www.ncbi.nlm.nih.gov/pubmed/35283490
http://dx.doi.org/10.1007/s10527-022-10153-y
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