Medical online neuro-fuzzy diagnostics system with active learning

Bodyanskiy, Ye. V.; Perova, I.

Публікація:
Medical online neuro-fuzzy diagnostics system with active learning

dc.contributor.author	Bodyanskiy, Ye. V.
dc.contributor.author	Perova, I.
dc.date.accessioned	2018-09-17T08:17:40Z
dc.date.available	2018-09-17T08:17:40Z
dc.date.issued	2017
dc.description.abstract	Situations when in the medical data set some patients have known diagnoses and all other have unknown ones is spread wise problem of present-day medicine. Known systems of computational intelligence show mediocre level of diagnostics in these data sets. In this paper online neuro-fuzzy diagnostics system with active learning is proposed. This system allows to increase a quality of medical diagnostics under the condition of small number of known reference signals due to combination of special learning algorithms – active learning. The proposed online neuro-fuzzy system is based on popular neural networks as Self-Organizing Map (SOM) and Learning Vector Quantization network (LVQ). Active learning procedure permits to tune their synaptic weights using simple recurrent self-learning procedures (SOM) and controlled learning with teacher (LVQ). Neuro-fuzzy diagnostics system with active learningwas used for breast cancer in Wisconsin data set processing and showed higher level of classification-clusterization results comparatively with known systems	uk_UA
dc.identifier.citation	Bodyanskiy Ye. Medical online neuro-fuzzy diagnostics system with active learning / Ye. Bodyanskiy, I. Perova // // International Journal of Advances in Computer and Electronics Engineering. -July 2017. -Volume 2. Issue 7. - P. 1–10	uk_UA
dc.identifier.uri	http://openarchive.nure.ua/handle/document/6905
dc.language.iso	en	uk_UA
dc.publisher	International Journal of Advances in Computer and Electronics Engineering	uk_UA
dc.subject	Medical Data Mining	uk_UA
dc.subject	active learning	uk_UA
dc.subject	neuro-fuzzy system	uk_UA
dc.subject	medical diagnostics	uk_UA
dc.subject	computational intelligence	uk_UA
dc.subject	learning vector quantization	uk_UA
dc.subject	self-learning procedure	uk_UA
dc.title	Medical online neuro-fuzzy diagnostics system with active learning	uk_UA
dc.type	Article	uk_UA
dspace.entity.type	Publication