Intelligent Information System of Heterogeneous Medical Data Analysis

Публікація:
Intelligent Information System of Heterogeneous Medical Data Analysis

dc.contributor.author	Єрохін, А. Л.
dc.contributor.author	Турута, О. П.
dc.contributor.author	Нечипоренко, А. С.
dc.contributor.author	Бабій, А. С.
dc.date.accessioned	2017-12-12T18:51:17Z
dc.date.available	2017-12-12T18:51:17Z
dc.date.issued	2017
dc.description.abstract	This paper describes the intelligent information system of heterogeneous medical data analysis for Ear Nose Throat (ENT) domain. Machine learning (ML) methods for medical data processing are analyzed. The scenario of machine learning algorithms for data processing in intelligent information system was developed. Supervised learning algorithms for classification task were implemented, their efficiency was validated. The proposed approach allows to improve the decision-making process and provide pre-surgical and post-surgical assessment of patients.	uk_UA
dc.identifier.citation	Proc. of the International Conference on Computer Sciences and Information Technologies, Lviv, Ukraine, 2017, 332-335.
dc.identifier.uri	http://openarchive.nure.ua/handle/document/4137
dc.language.iso	en	uk_UA
dc.subject	Heterogeneous data	uk_UA
dc.subject	Intelligent information system	uk_UA
dc.subject	Machine learning	uk_UA
dc.subject	Feature extraction	uk_UA
dc.subject	Classification	uk_UA
dc.title	Intelligent Information System of Heterogeneous Medical Data Analysis	uk_UA
dc.type	Conference proceedings	uk_UA
dspace.entity.type	Publication