A Database for Using Machine Learning and Data Mining Techniques for Coronary Artery Disease Diagnosis

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A Database for Using Machine Learning and Data Mining Techniques for Coronary Artery Disease Diagnosis Publisher Pubmed

Alizadehsani R¹ ; Roshanzamir M² ; Abdar M³ ; Beykikhoshk A⁴ ; Khosravi A¹ ; Panahiazar M⁵ ; Koohestani A¹ ; Khozeimeh F⁶ ; Nahavandi S¹ ; Sarrafzadegan N^{7, 8}

Show Affiliations

1. Institute for Intelligent Systems Research and Innovation, Deakin University, Geelong, 3216, VIC, Australia
2. Department of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan, 84156-83111, Iran
3. Departement d’informatique, Universite du Quebec a Montreal, Montreal, QC, Canada
4. Applied Artificial Intelligence Institute, Deakin University, Geelong, Australia
5. University of California San Francisco, San Francisco, CA, United States
6. Mashhad University of Medical Science, Mashhad, Iran
7. Isfahan Cardiovascular Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
8. School of Population and Public Health, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada

Source: Scientific Data Published:2019

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. © 2019, The Author(s).

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Style	Citing Format
MLA	Alizadehsani R, et al.. "A Database for Using Machine Learning and Data Mining Techniques for Coronary Artery Disease Diagnosis." Scientific Data, vol. 6, no. 1, 2019, pp. -.
APA	Alizadehsani R, Roshanzamir M, Abdar M, Beykikhoshk A, Khosravi A, Panahiazar M, Koohestani A, Khozeimeh F, Nahavandi S, Sarrafzadegan N (2019). A Database for Using Machine Learning and Data Mining Techniques for Coronary Artery Disease Diagnosis. Scientific Data, 6(1), -.
Chicago	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." Scientific Data 6, no. 1 (2019): -.
Harvard	Alizadehsani R et al. (2019) 'A Database for Using Machine Learning and Data Mining Techniques for Coronary Artery Disease Diagnosis', Scientific Data, 6(1), pp. -.
Vancouver	Alizadehsani R, Roshanzamir M, Abdar M, Beykikhoshk A, Khosravi A, Panahiazar M, et al.. A Database for Using Machine Learning and Data Mining Techniques for Coronary Artery Disease Diagnosis. Scientific Data. 2019;6(1):-.
BibTex	@article{ author = {Alizadehsani R and Roshanzamir M and Abdar M and Beykikhoshk A and Khosravi A and Panahiazar M and Koohestani A and Khozeimeh F and Nahavandi S and Sarrafzadegan N}, title = {A Database for Using Machine Learning and Data Mining Techniques for Coronary Artery Disease Diagnosis}, journal = {Scientific Data}, volume = {6}, number = {1}, pages = {-}, year = {2019} }
RIS	TY - JOUR AU - Alizadehsani R AU - Roshanzamir M AU - Abdar M AU - Beykikhoshk A AU - Khosravi A AU - Panahiazar M AU - Koohestani A AU - Khozeimeh F AU - Nahavandi S AU - Sarrafzadegan N TI - A Database for Using Machine Learning and Data Mining Techniques for Coronary Artery Disease Diagnosis JO - Scientific Data VL - 6 IS - 1 SP - EP - PY - 2019 ER -

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