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Neo-fuzzy approach for medical diagnostics tasks in online-mode

  • Iryna Perova
  • , Iryna Pliss
  • , Gennadiy Churyumov
  • , Franklin M. Eze
  • , Samer Mohamed Kanaan Mahmoud
  • Kharkiv National University of Radio Electronics
  • Al Baha University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper neuro-fuzzy approach for medical data processing are considered. Architecture of multidimensional neo-fuzzy neuron and group of its adaptive learning algorithms was introduced for Medical Data Mining tasks in online-mode.

Original languageEnglish
Title of host publicationProceedings of the 2016 IEEE 1st International Conference on Data Stream Mining and Processing, DSMP 2016
EditorsOlena Vynokurova, Dmytro Peleshko
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages34-37
Number of pages4
ISBN (Electronic)9781509037360
DOIs
StatePublished - 4 Oct 2016
Externally publishedYes
Event1st IEEE International Conference on Data Stream Mining and Processing, DSMP 2016 - Lviv, Ukraine
Duration: 23 Aug 201627 Aug 2016

Publication series

NameProceedings of the 2016 IEEE 1st International Conference on Data Stream Mining and Processing, DSMP 2016

Conference

Conference1st IEEE International Conference on Data Stream Mining and Processing, DSMP 2016
Country/TerritoryUkraine
CityLviv
Period23/08/1627/08/16

Keywords

  • Big Data
  • Data Stream
  • Medical Data Mining
  • Multidimensional neo-fuzzy neuron
  • Neuro-fuzzy system

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