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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Publicado en:Biomedical Engineering Vol. 55; no. 6; pp. 442 - 448
Autores principales: Losev, A. G., Popov, I. E., Petrenko, A. Yu., Gudkov, A. G., Vesnin, S. G., Chizhikov, S. V.
Formato: equations & formulas research tables/charts Journal Article
Publicado: Springer Nature Mar2022
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Mar2022
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      pub: Springer Nature
      place: New York, New York
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        10.1007/s10527-022-10153-y
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        atl: Some Methods for Substantiating Diagnostic Decisions Made Using Machine Learning Algorithms.
      aug:
        au:
          Losev, A. G.
          Popov, I. E.
          Petrenko, A. Yu.
          Gudkov, A. G.
          Vesnin, S. G.
          Chizhikov, S. V.
        affil: Volgograd State University, Volgograd, Russia
      sug:
        subj:
          Machine Learning
          Decision Making, Clinical
          Human
          Algorithms
          Logistic Regression
          Decision Trees
          Sensitivity and Specificity
      ab: 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.
      pubtype: Academic Journal
      doctype:
        equations & formulas
        research
        tables/charts
        Journal Article
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    language: English
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