Online Medical Data Stream Mining Based on Adaptive Neuro-Fuzzy Approaches

Публікація:
Online Medical Data Stream Mining Based on Adaptive Neuro-Fuzzy Approaches

dc.contributor.author	Perova, I.
dc.contributor.author	Bodyanskiy, Ye. V.
dc.date.accessioned	2020-11-04T11:14:16Z
dc.date.available	2020-11-04T11:14:16Z
dc.date.issued	2019
dc.description.abstract	Data mining approaches in medical diagnostics tasks have a number of special properties that do not allow the use of such approaches in a classical form. That’s why adaptive neuro-fuzzy systems for online medical data stream processing tasks and its learning algorithms have been developed. Proposed systems can process medical data streams in three modes: supervised learning, unsupervised learning and active learning. The purpose of the paper is to develop approach, based on adaptive neuro-fuzzy systems to solve the tasks of medical data stream mining in online-mode.	uk_UA
dc.identifier.citation	Perova I. Online Medical Data Stream Mining Based on Adaptive Neuro-Fuzzy Approaches / I. Perova, Y. Bodyanskiy // Cybernetics and computer engineering. -- 2019. -- No 4(198). -- C. 3--25	uk_UA
dc.identifier.uri	http://openarchive.nure.ua/handle/document/13708
dc.language.iso	en	uk_UA
dc.publisher	Cybernetics and computer engineering	uk_UA
dc.subject	medical data stream	uk_UA
dc.subject	adaptive system	uk_UA
dc.subject	neuro-fuzzy system	uk_UA
dc.subject	medical data mining	uk_UA
dc.title	Online Medical Data Stream Mining Based on Adaptive Neuro-Fuzzy Approaches	uk_UA
dc.type	Article	uk_UA
dspace.entity.type	Publication