Author:
Alizadehsani R.,Roshanzamir M.,Abdar M.,Beykikhoshk A.,Khosravi A.,Panahiazar M.,Koohestani A.,Khozeimeh F.,Nahavandi S.,Sarrafzadegan N.
Abstract
Abstract
We present the coronary artery disease (CAD) database, a comprehensive resource, comprising 126 papers and 68 datasets relevant to CAD diagnosis, extracted from the scientific literature from 1992 and 2018. These data were collected to help advance research on CAD-related machine learning and data mining algorithms, and hopefully to ultimately advance clinical diagnosis and early treatment. To aid users, we have also built a web application that presents the database through various reports.
Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences,Statistics, Probability and Uncertainty,Computer Science Applications,Education,Information Systems,Statistics and Probability
Cited by
67 articles.
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