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

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 m...

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Autores principales: Alizadehsani, R., Roshanzamir, M., Abdar, M., Beykikhoshk, A., Khosravi, A., Panahiazar, M., Koohestani, A., Khozeimeh, F., Nahavandi, S., Sarrafzadegan, N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Data Descriptor
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6811630/
https://www.ncbi.nlm.nih.gov/pubmed/31645559
http://dx.doi.org/10.1038/s41597-019-0206-3
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author Alizadehsani, R.
Roshanzamir, M.
Abdar, M.
Beykikhoshk, A.
Khosravi, A.
Panahiazar, M.
Koohestani, A.
Khozeimeh, F.
Nahavandi, S.
Sarrafzadegan, N.
author_facet Alizadehsani, R.
Roshanzamir, M.
Abdar, M.
Beykikhoshk, A.
Khosravi, A.
Panahiazar, M.
Koohestani, A.
Khozeimeh, F.
Nahavandi, S.
Sarrafzadegan, N.
author_sort Alizadehsani, R.
collection PubMed
description 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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spelling pubmed-68116302019-10-30 A database for using machine learning and data mining techniques for coronary artery disease diagnosis Alizadehsani, R. Roshanzamir, M. Abdar, M. Beykikhoshk, A. Khosravi, A. Panahiazar, M. Koohestani, A. Khozeimeh, F. Nahavandi, S. Sarrafzadegan, N. Sci Data Data Descriptor 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. Nature Publishing Group UK 2019-10-23 /pmc/articles/PMC6811630/ /pubmed/31645559 http://dx.doi.org/10.1038/s41597-019-0206-3 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article.
spellingShingle Data Descriptor
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
title A database for using machine learning and data mining techniques for coronary artery disease diagnosis
title_full A database for using machine learning and data mining techniques for coronary artery disease diagnosis
title_fullStr A database for using machine learning and data mining techniques for coronary artery disease diagnosis
title_full_unstemmed A database for using machine learning and data mining techniques for coronary artery disease diagnosis
title_short A database for using machine learning and data mining techniques for coronary artery disease diagnosis
title_sort database for using machine learning and data mining techniques for coronary artery disease diagnosis
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6811630/
https://www.ncbi.nlm.nih.gov/pubmed/31645559
http://dx.doi.org/10.1038/s41597-019-0206-3
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