Perova, I.Bodyanskiy, Ye. V.2020-11-042020-11-042019Perova 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--25http://openarchive.nure.ua/handle/document/13708Data 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.enmedical data streamadaptive systemneuro-fuzzy systemmedical data miningOnline Medical Data Stream Mining Based on Adaptive Neuro-Fuzzy ApproachesArticle