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

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 [24551]
Коллекция содержит публикации сотрудников Казанского федерального (до 2010 года Казанского государственного) университета, проиндексированные в БД Scopus, начиная с 1970г.