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Alizadehsani R, Roshanzamir M, Abdar M, Beykikhoshk A, Khosravi A, Panahiazar M, Koohestani A, Khozeimeh F, Nahavandi S, Sarrafzadegan N. A database for using machine learning and data mining techniques for coronary artery disease diagnosis. Sci Data 2019; 6:227. [PMID: 31645559 PMCID: PMC6811630 DOI: 10.1038/s41597-019-0206-3] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2019] [Accepted: 08/16/2019] [Indexed: 12/28/2022] Open
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.
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Affiliation(s)
- R Alizadehsani
- Institute for Intelligent Systems Research and Innovation, Deakin University, Geelong, VIC 3216, Australia
| | - M Roshanzamir
- Department of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan, 84156-83111, Iran
| | - M Abdar
- Département d'informatique, Université du Québec à Montréal, Montréal, Québec, Canada
| | - A Beykikhoshk
- Applied Artificial Intelligence Institute, Deakin University, Geelong, Australia
| | - A Khosravi
- Institute for Intelligent Systems Research and Innovation, Deakin University, Geelong, VIC 3216, Australia
| | - M Panahiazar
- University of California San Francisco, San Francisco, CA, USA.
| | - A Koohestani
- Institute for Intelligent Systems Research and Innovation, Deakin University, Geelong, VIC 3216, Australia
| | - F Khozeimeh
- Mashhad University of Medical Science, Mashhad, Iran
| | - S Nahavandi
- Institute for Intelligent Systems Research and Innovation, Deakin University, Geelong, VIC 3216, Australia
| | - N Sarrafzadegan
- Isfahan Cardiovascular Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
- School of Population and Public Health, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
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