Performance improvement of decision trees for diagnosis of coronary artery disease using multi filtering approach Abdar, Moloud, Nasarian, E, Zhou, X, Bargshady, G, Wijayaningrum, VN and Hussain, S 2019, Performance improvement of decision trees for diagnosis of coronary artery disease using multi filtering approach, in IEEE 2019 : Proceedings of the 4th IEEE International Conference on Computer and Communication Systems, IEEE, Piscataway, NJ, pp. 26-30, doi: 10.1109/CCOMS.2019.8821633. Attached Files Name Description MIMEType Size Downloads Title Performance improvement of decision trees for diagnosis of coronary artery disease using multi filtering approach Author(s) Abdar, Moloud orcid.org/0000-0002-3059-6357 Nasarian, E Zhou, X Bargshady, G Wijayaningrum, VN Hussain, S Conference name IEEE Computer and Communication Systems. (ICCCS) International Conference (4th: 2019: Singapore) Conference location Singapore Conference dates 2019/02/23 - 2019/02/25 Title of proceedings IEEE 2019 : Proceedings of the 4th IEEE International Conference on Computer and Communication Systems Publication date 2019-02-02 Start page 26 End page 30 Total pages 5 Publisher IEEE Place of publication Piscataway, NJ Keyword(s) classification Computer Science Computer Science, Information Systems Computer Science, Software Engineering coronary artery disease data mining heart disease machine learning Science & Technology Technology Telecommunications ISBN 9781728113227 Language eng DOI 10.1109/CCOMS.2019.8821633 HERDC Research category C1 Refereed article in a scholarly journal Persistent URL http://hdl.handle.net/10536/DRO/DU:30134235 Document type: Conference Paper Collection: Institute for Intelligent Systems Research and Innovation (IISRI) Related Links Link Description Connect to published version Go to link with your DU access privileges   Connect to Elements publication management system 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 Thu, 30 Jan 2020, 14:35:49 EST Fri, 31 Jan 2020, 04:00:41 EST Fri, 31 Jan 2020, 07:09:46 EST Sat, 18 Jul 2020, 02:31:02 EST Thu, 07 Jul 2022, 15:35:58 EST Fri, 15 Jul 2022, 09:10:35 EST Fri, 15 Jul 2022, 13:46:54 EST Fri, 15 Jul 2022, 13:52:22 EST Filtered Full Citation counts:   Cited 9 times in TR Web of Science Cited 17 times in Scopus Search Google Scholar Access Statistics: 10 Abstract Views, 0 File Downloads  -  Detailed Statistics Created: Thu, 30 Jan 2020, 14:35:49 EST