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Alizadehsani R, Roshanzamir M, Abdar M, et al. A database for using machine learning and data mining techniques for coronary artery disease diagnosis. Sci Data. 2019;6(1):227doi: 10.1038/s41597-019-0206-3.
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), 227. https://doi.org/10.1038/s41597-019-0206-3
Alizadehsani, R, et al. "A database for using machine learning and data mining techniques for coronary artery disease diagnosis." Scientific data vol. 6,1 (2019): 227. doi: https://doi.org/10.1038/s41597-019-0206-3
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 Oct 23;6(1):227. doi: 10.1038/s41597-019-0206-3. PMID: 31645559; PMCID: PMC6811630.
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Sci Data. 2019 Oct 23;6(1):227. doi: 10.1038/s41597-019-0206-3.

A database for using machine learning and data mining techniques for coronary artery disease diagnosis.

Scientific data

R Alizadehsani, M Roshanzamir, M Abdar, A Beykikhoshk, A Khosravi, M Panahiazar, A Koohestani, F Khozeimeh, S Nahavandi, N Sarrafzadegan

Affiliations

  1. Institute for Intelligent Systems Research and Innovation, Deakin University, Geelong, VIC 3216, Australia.
  2. Department of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan, 84156-83111, Iran.
  3. Département d'informatique, Université du Québec à Montréal, Montréal, Québec, Canada.
  4. Applied Artificial Intelligence Institute, Deakin University, Geelong, Australia.
  5. University of California San Francisco, San Francisco, CA, USA. [email protected].
  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, British Columbia, Canada.

PMID: 31645559 PMCID: PMC6811630 DOI: 10.1038/s41597-019-0206-3

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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