Parsimonious evolutionary-based model development for detecting artery disease Jalali, Seyed Mohammad Jafar, Khosravi, Abbas, Alizadehsani, Roohallah, Salaken, Syed Moshfeq, Kebria, Parham Mohsenzadeh, Puri, Rishi and Nahavandi, Saeid 2019, Parsimonious evolutionary-based model development for detecting artery disease, in ICIT 2019 : Proceedings of the IEEE International Conference on Industrial Technology, IEEE, Piscataway, N.J., pp. 800-805, doi: 10.1109/ICIT.2019.8755107. Attached Files Name Description MIMEType Size Downloads Title Parsimonious evolutionary-based model development for detecting artery disease Author(s) Jalali, Seyed Mohammad Jafar Khosravi, Abbas orcid.org/0000-0001-6927-0744 Alizadehsani, Roohallah Salaken, Syed Moshfeq orcid.org/0000-0001-8632-2665 Kebria, Parham Mohsenzadeh orcid.org/0000-0001-7049-928X Puri, Rishi Nahavandi, Saeid orcid.org/0000-0002-0360-5270 Conference name Industrial Technology. Conference (2019 : Melbourne, Victoria) Conference location Melbourne, Victoria Conference dates 13-15 Feb. 2019 Title of proceedings ICIT 2019 : Proceedings of the IEEE International Conference on Industrial Technology Publication date 2019 Start page 800 End page 805 Total pages 6 Publisher IEEE Place of publication Piscataway, N.J. Keyword(s) coronary artery disease Data Mining Evolutionary Algorithm GEP GA-ENN Feature Selection Science & Technology Technology Engineering, Electrical & Electronic Engineering NEURAL-NETWORKS CLASSIFICATION PREDICTION ISBN 9781538663769 Language eng DOI 10.1109/ICIT.2019.8755107 Indigenous content off HERDC Research category E1 Full written paper - refereed Persistent URL http://hdl.handle.net/10536/DRO/DU:30128307 Document type: Conference Paper Collections: Institute for Intelligent Systems Research and Innovation (IISRI) GTP Research Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Mon, 29 Jul 2019, 15:28:55 EST Tue, 30 Jul 2019, 05:02:09 EST Sat, 09 Nov 2019, 01:31:41 EST Fri, 20 Mar 2020, 05:02:18 EST Wed, 15 Apr 2020, 16:09:17 EST Wed, 15 Apr 2020, 16:11:24 EST Filtered Full Citation counts:   Cited 14 times in TR Web of Science Cited 10 times in Scopus Search Google Scholar Access Statistics: 95 Abstract Views, 0 File Downloads  -  Detailed Statistics Created: Mon, 29 Jul 2019, 15:28:55 EST

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