Decision Support Systems in Cardiology: A Systematic Review

Bibliographic Details
Parent link:	Studies in Health Technology and Informatics Vol. 237 : Wearable, Micro and Nano Technologies for Personalised Health (pHealth 2017).— 2017.— [P. 209 - 214]
Main Author:	Dudchenko A. V. Aleksey Vitaljevich
Corporate Author:	Национальный исследовательский Томский политехнический университет (ТПУ) Институт кибернетики (ИК) Кафедра программной инженерии (ПИ)
Other Authors:	Kopanitsa G. D. Georgy Dmitrievich
Summary:	Title screen The aim of this work was to identify the most common approaches used in the intelligent decision support systems employed in the diagnosis of cardiovascular diseases and identify accuracy of these systems. Forty-one relevant publications were included in the review using Scopus and Web of Science. Knowledge base and fuzzy logic and ANN is the most commonly used approach to diagnosis and prediction. The accuracy of the considered systems reaches 98%. Режим доступа: по договору с организацией-держателем ресурса
Published:	2017
Subjects:	электронный ресурс труды учёных ТПУ кардиология принятие решений системы диагностика
Online Access:	http://ebooks.iospress.nl/volumearticle/46448
Format:	Electronic Book Chapter
KOHA link:	https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=655164

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