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, Issue 4,Pages <nobr>55

This article is cited in 6 papers

Decision analysis

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

L. V. Utkin^a, A. A. Meldo^b, M. S. Kovalev^a, E. M. Kasimov^a

^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

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.

DOI: 10.14357/20718594200406