| Literature DB >> 28479570 |
Aleksey Dudchenko1, Georgy Kopanitsa1.
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%.Entities:
Keywords: Heart disease; artificial intelligence; prediction and diagnosis systems
Mesh：
Year: 2017 PMID： 28479570
Source DB: PubMed Journal: Stud Health Technol Inform ISSN： 0926-9630