Artificial Intelligence and Decision Making
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Artificial Intelligence and Decision Making, 2020, Issue 4, Pages 55–65
DOI: https://doi.org/10.14357/20718594200406 (Mi iipr152) 		 
This article is cited in 6 scientific papers (total in 6 papers)

Decision analysis

A review of methods for explaining and interpreting decisions of intelligent cancer diagnosis systems

L. V. Utkina, A. A. Meldob, M. S. Kovaleva, E. M. Kasimova

a Peter the Great St. Petersburg Polytechnic University, St.Petersburg, Russia
b Saint-Petersburg Clinical Research Center of Specialized Types of Medical Care (Oncological), St.Petersburg, Russia
Full-text PDF (389 kB) Citations (6)
DOI: https://doi.org/10.14357/20718594200406
Abstract: The paper presents a review of methods for explaining and interpreting the classification results provided by various machine learning models. A general classification of the interpretation and explanation methods is given depending on a type of interpreted models. Main approaches and examples of explanation methods in medicine and, in particular, in oncology, are considered. A general scheme of the explainable intelligence subsystem is proposed, which allows to implement explanations by means of the natural language.
Keywords: machine learning, explainable intelligence, interpretation, oncology, deep neural networks, intelligent diagnostic system.
Funding agency Grant number
Russian Foundation for Basic Research 19-11-50047
English version:
Scientific and Technical Information Processing, 2021, Volume 48, Issue 5, Pages 398–405
DOI: https://doi.org/10.3103/S0147688221050129
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: L. V. Utkin, A. A. Meldo, M. S. Kovalev, E. M. Kasimov, “A review of methods for explaining and interpreting decisions of intelligent cancer diagnosis systems”, Artificial Intelligence and Decision Making, 2020, no. 4, 55–65; Scientific and Technical Information Processing, 48:5 (2021), 398–405
Citation in format AMSBIB
\Bibitem{UtkMelKov20}
\by L.~V.~Utkin, A.~A.~Meldo, M.~S.~Kovalev, E.~M.~Kasimov
\paper A review of methods for explaining and interpreting decisions of intelligent cancer diagnosis systems
\jour Artificial Intelligence and Decision Making
\yr 2020
\issue 4
\pages 55--65
\mathnet{http://mi.mathnet.ru/iipr152}
\crossref{https://doi.org/10.14357/20718594200406}
\elib{https://elibrary.ru/item.asp?id=44408561}
\transl
\jour Scientific and Technical Information Processing
\yr 2021
\vol 48
\issue 5
\pages 398--405
\crossref{https://doi.org/10.3103/S0147688221050129}
Linking options:
  • https://www.mathnet.ru/eng/iipr152
  • https://www.mathnet.ru/eng/iipr/y2020/i4/p55
    • This publication is cited in the following 6 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    		Artificial Intelligence and Decision Making
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    Abstract page:41
    Full-text PDF :13
    References:1
     
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