Decision Support Systems in Cardiology: A Systematic Review; Studies in Health Technology and Informatics; Vol. 237 : Wearable, Micro and Nano Technologies for Personalised Health (pHealth 2017)

Decision Support Systems in Cardiology: A Systematic Review; Studies in Health Technology and Informatics; Vol. 237 : Wearable, Micro and Nano Technologies for Personalised Health (pHealth 2017)

Bibliographische Detailangaben
Parent link:Studies in Health Technology and Informatics
Vol. 237 : Wearable, Micro and Nano Technologies for Personalised Health (pHealth 2017).— 2017.— [P. 209 - 214]
1. Verfasser: Dudchenko A. V. Aleksey Vitaljevich
Körperschaft: Национальный исследовательский Томский политехнический университет (ТПУ) Институт кибернетики (ИК) Кафедра программной инженерии (ПИ)
Weitere Verfasser: Kopanitsa G. D. Georgy Dmitrievich
Zusammenfassung: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
Sprache:Englisch
Veröffentlicht: 2017
Schlagworte:
электронный ресурс
труды учёных ТПУ
кардиология
принятие решений
системы
диагностика
Online-Zugang:http://ebooks.iospress.nl/volumearticle/46448
Format: Elektronisch Buchkapitel
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=655164

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