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

Alizadehsani, Roohallah, Roshanzamir, M, Abdar, Moloud, Beykikhoshk, Adham, Khosravi, Abbas, Panahiazar, M, Koohestani, Afsaneh, Khozeimeh, F, Nahavandi, Saeid and Sarrafzadegan, N 2019, A database for using machine learning and data mining techniques for coronary artery disease diagnosis, Scientific data, vol. 6, no. 1, pp. 227, doi: 10.1038/s41597-019-0206-3.

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Title A database for using machine learning and data mining techniques for coronary artery disease diagnosis
Author(s) Alizadehsani, Roohallah
Roshanzamir, M
Abdar, MoloudORCID iD for Abdar, Moloud orcid.org/0000-0002-3059-6357
Beykikhoshk, Adham
Khosravi, AbbasORCID iD for Khosravi, Abbas orcid.org/0000-0001-6927-0744
Panahiazar, M
Koohestani, Afsaneh
Khozeimeh, F
Nahavandi, SaeidORCID iD for Nahavandi, Saeid orcid.org/0000-0002-0360-5270
Sarrafzadegan, N
Journal name Scientific data
Volume number 6
Issue number 1
Article ID ARTN 227
Start page 227
Publisher NATURE PUBLISHING GROUP
Place of publication England
Publication date 2019-10-23
ISSN 2052-4463
2052-4463
Keyword(s) Science & Technology
Multidisciplinary Sciences
Science & Technology - Other Topics
SUPPORT VECTOR MACHINE
HEALTH RECORD DATA
PERFORMANCE ANALYSIS
LOGISTIC-REGRESSION
NEURAL-NETWORKS
BREAST-CANCER
CLASSIFICATION
PREDICTION
ALGORITHMS
SVM
Language eng
DOI 10.1038/s41597-019-0206-3
Indigenous content off
HERDC Research category C2 Other contribution to refereed journal
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30131012

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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.