Decision Support Systems in Cardiology: A Systematic Review.
Journal:
Studies in health technology and informatics
Published Date:
Jan 1, 2017
Abstract
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%.