Association between work-related features and coronary artery disease: A heterogeneous hybrid feature selection integrated with balancing approach Nasarian, Elham, Abdar, Moloud, Fahami, Mohammad Amin, Alizadehsani, Roohallah, Hussain, Sadiq, Basiri, Mohammad Ehsan, Zomorodi-Moghadam, Mariam, Zhou, Xujuan, Pławiak, Pawel, Acharya, U. Rajendra, Tan, Ru-San and Sarrafzadegan, Nizal 2020, Association between work-related features and coronary artery disease: A heterogeneous hybrid feature selection integrated with balancing approach, Pattern recognition letters, vol. 133, pp. 33-40, doi: 10.1016/j.patrec.2020.02.010. Attached Files Name Description MIMEType Size Downloads Title Association between work-related features and coronary artery disease: A heterogeneous hybrid feature selection integrated with balancing approach Author(s) Nasarian, Elham Abdar, Moloud orcid.org/0000-0002-3059-6357 Fahami, Mohammad Amin Alizadehsani, Roohallah Hussain, Sadiq Basiri, Mohammad Ehsan Zomorodi-Moghadam, Mariam Zhou, Xujuan Pławiak, Pawel Acharya, U. Rajendra Tan, Ru-San Sarrafzadegan, Nizal Journal name Pattern recognition letters Volume number 133 Start page 33 End page 40 Total pages 8 Publisher Elsevier Place of publication Amsterdam, The Netherlands Publication date 2020-05 ISSN 0167-8655 Keyword(s) Machine learning Data mining Heart disease Coronary artery disease Feature selection Language eng DOI 10.1016/j.patrec.2020.02.010 Indigenous content off Field of Research 0801 Artificial Intelligence and Image Processing 0906 Electrical and Electronic Engineering 1702 Cognitive Sciences HERDC Research category C1 Refereed article in a scholarly journal Persistent URL http://hdl.handle.net/10536/DRO/DU:30137755 Document type: Journal Article 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, 01 Jun 2020, 12:55:37 EST Tue, 02 Jun 2020, 05:01:31 EST Tue, 14 Jul 2020, 06:03:13 EST Wed, 29 Jul 2020, 16:14:17 EST Wed, 29 Jul 2020, 16:17:09 EST Wed, 29 Jul 2020, 16:18:09 EST Sat, 01 Aug 2020, 02:31:07 EST Filtered Full Citation counts:   Cited 5 times in TR Web of Science Cited 12 times in Scopus Search Google Scholar Access Statistics: 23 Abstract Views, 0 File Downloads  -  Detailed Statistics Created: Mon, 01 Jun 2020, 12:55:37 EST

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