Decision Support Systems in Cardiology: A Systematic Review

Decision Support Systems in Cardiology: A Systematic Review

Détails bibliographiques
Parent link:Studies in Health Technology and Informatics
Vol. 237 : Wearable, Micro and Nano Technologies for Personalised Health (pHealth 2017).— 2017.— [P. 209 - 214]
Auteur principal: Dudchenko A. V. Aleksey Vitaljevich
Collectivité auteur: Национальный исследовательский Томский политехнический университет (ТПУ) Институт кибернетики (ИК) Кафедра программной инженерии (ПИ)
Autres auteurs: Kopanitsa G. D. Georgy Dmitrievich
Résumé: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
Publié: 2017
Sujets:
электронный ресурс
труды учёных ТПУ
кардиология
принятие решений
системы
диагностика
Accès en ligne:http://ebooks.iospress.nl/volumearticle/46448
Format: Électronique Chapitre de livre
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=655164

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