Model of a Decision-Making System for the Diagnosis of Melanoma Using Artificial Intelligence

Interdisciplinary approaches to creating high-tech computer systems for the diagnosis of melanoma using artificial intelligence are presented. A model is proposed for the architecture of an interactive expert system. This includes a set of features for a contemporary medical algorithm (the Kittler algorithm) along with a knowledge base and a diagnosis evaluation score for the case under study. © 2021, Springer Science+Business Media, LLC, part of Springer Nature.

Авторы
Nikitaev V.G.1 , Pronichev A.N.1 , Tamrazova O.B. 2 , Sergeev V.Y. 3 , Druzhinina E.A.1 , Medvedeva O.A.1 , Solomatin M.A.1
Журнал
Biomedical Engineering
Издательство
Springer New York LLC
Номер выпуска
3
Язык
Английский
Страницы
215-218
Статус
Опубликовано
Ссылка
Внешняя ссылка
DOI
10.1007/s10527-021-10104-z
Том
55
Год
2021
Организации
  • 1 National Research Nuclear University MEPhI (Moscow Engineering Physics Institute), Moscow, Russian Federation
  • 2 Peoples’ Friendship University of Russia, Moscow, Russian Federation
  • 3 Central State Medical Academy, Directorate of the President of the Russian Federation, Moscow, Russian Federation
Ключевые слова
Decision making; Dermatology; Diagnosis; Expert systems; Oncology; Decision-making systems; High tech; Kittler; Knowledge base; Artificial intelligence; algorithm; Article; artificial intelligence; clinical decision making; computer model; melanoma
Дата создания
16.12.2021
Дата изменения
16.12.2021
Постоянная ссылка
https://repository.rudn.ru/ru/records/article/record/76652/
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