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Formulation of the task of constructing an expert system for the diagnosis of leukemia

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dc.contributor.author Gabdrahmanov R.
dc.contributor.author Hussein A.
dc.contributor.author Burnashev R.
dc.contributor.author Enikeev A.
dc.date.accessioned 2020-01-15T22:12:03Z
dc.date.available 2020-01-15T22:12:03Z
dc.date.issued 2019
dc.identifier.uri https://dspace.kpfu.ru/xmlui/handle/net/157012
dc.description.abstract © 2019 IEEE. - This paper discusses the task of creating a prototype of the expert system “LeykemiaNN”, designed to help oncologists in predicting the acute and chronic forms of leukemia. To achieve this goal, a survey study of the forms of diagnosis of leukemia, which are aimed at identifying a malignant disease through a prototype expert system, was conducted. For the developed prototype, the experimental data were structured, and a generator was created that made it possible to generate data for training an artificial neural network. The client application was implemented in the Spyder development environment in the Python 3 programming language. (Abstract)
dc.subject Expert system
dc.subject Keras
dc.subject Neural network
dc.subject Numpy
dc.subject PostgreSQL
dc.subject Psycopg2
dc.subject PyQt5
dc.subject Python 3
dc.title Formulation of the task of constructing an expert system for the diagnosis of leukemia
dc.type Conference Paper
dc.collection Публикации сотрудников КФУ
dc.relation.startpage 7
dc.source.id SCOPUS-2019-SID85075878081


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  • Публикации сотрудников КФУ Scopus [22633]
    Коллекция содержит публикации сотрудников Казанского федерального (до 2010 года Казанского государственного) университета, проиндексированные в БД Scopus, начиная с 1970г.

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