Approaches for modern rhinomanometry diagnostics with data mining support

Публікація:
Approaches for modern rhinomanometry diagnostics with data mining support

dc.contributor.author	Аврунін, О. Г.
dc.contributor.author	Семенець, В. В.
dc.contributor.author	Ibrahim Younouss Abdelhamid
dc.contributor.author	Shushliapina, N. O.
dc.contributor.author	Avrunin, O. G.
dc.contributor.author	Semenets, V. V.
dc.date.accessioned	2019-04-25T12:51:05Z
dc.date.available	2019-04-25T12:51:05Z
dc.date.issued	2019
dc.description.abstract	Approaches for modern rhinomanometry diagnostics with data mining support are described.	uk_UA
dc.identifier.citation	Approaches for modern rhinomanometry diagnostics with data mining support / Avrunin Oleg Grigorovich, Semenets Valerii Vasilyovich, Ibrahim Younouss Abdelhamid, Shushliapina Nataliia Olegivna, Chygrinova Elena Arhipovna. // Proceedings of the Fourth International Conference of European Academy of Science.- Bonn.- 2019.- P. 38-39.	uk_UA
dc.identifier.uri	http://openarchive.nure.ua/handle/document/8503
dc.language.iso	en	uk_UA
dc.publisher	EAS, Bonn, Germany	uk_UA
dc.subject	rhinomanometry	uk_UA
dc.subject	medical diagnostics	uk_UA
dc.subject	nasal breathing	uk_UA
dc.subject	medical and technical requirements	uk_UA
dc.title	Approaches for modern rhinomanometry diagnostics with data mining support	uk_UA
dc.type	Conference proceedings	uk_UA
dspace.entity.type	Publication