{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,9]],"date-time":"2026-01-09T02:14:23Z","timestamp":1767924863441,"version":"3.49.0"},"reference-count":98,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100003151","name":"Fonds de Recherche du Qu\u00e9bec - Nature et Technologies","doi-asserted-by":"publisher","award":["FRQNT-273048"],"award-info":[{"award-number":["FRQNT-273048"]}],"id":[{"id":"10.13039\/501100003151","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2019]]},"DOI":"10.1109\/access.2019.2953920","type":"journal-article","created":{"date-parts":[[2019,11,19]],"date-time":"2019-11-19T15:52:23Z","timestamp":1574178743000},"page":"167605-167620","source":"Crossref","is-referenced-by-count":81,"title":["NE-nu-SVC: A New Nested Ensemble Clinical Decision Support System for Effective Diagnosis of Coronary Artery Disease"],"prefix":"10.1109","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3059-6357","authenticated-orcid":false,"given":"Moloud","family":"Abdar","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2689-8552","authenticated-orcid":false,"given":"U. Rajendra","family":"Acharya","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6828-2169","authenticated-orcid":false,"given":"Nizal","family":"Sarrafzadegan","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3753-5925","authenticated-orcid":false,"given":"Vladimir","family":"Makarenkov","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/978-81-322-2009-1_47"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1166\/jmihi.2016.1593"},{"key":"ref33","first-page":"31","article-title":"Using decision trees in data mining for predicting factors influencing of heart disease","volume":"8","author":"abdar","year":"2015","journal-title":"Carpathian Journal of Electronic and Computer Engineering"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/COMAPP.2017.8079784"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2017.01.004"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2017.02.001"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2015.02.011"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2016.10.013"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2006.01.027"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.15439\/2017F219"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/s11227-015-1541-6"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2016.07.004"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-09823-4_66"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/AICAI.2019.8701237"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/s12553-019-00312-9"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/s11695-019-03849-w"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1200\/JCO.2019.37.15_suppl.e16576"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/HEALTH.2011.6026778"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2012.08.028"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2008.09.013"},{"key":"ref50","article-title":"Correlation-based feature selection for machine learning","author":"hall","year":"1999"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-019-0231-2"},{"key":"ref59","first-page":"44","article-title":"The implications of diverse applications and scalable data sets in benchmarking big data systems","author":"jia","year":"2012","journal-title":"Specifying Big Data Benchmarks"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611972801.22"},{"key":"ref57","article-title":"Improving on-line learning","author":"mesterharm","year":"2007"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1049\/iet-syb.2018.5068"},{"key":"ref55","article-title":"Statistical inference for model parameters in stochastic gradient descent","author":"chen","year":"2016","journal-title":"arXiv 1610 08637"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-015-2598-1"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2018.06.025"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1007\/s11063-016-9499-9"},{"key":"ref40","author":"sani","year":"2018","journal-title":"Z-Alizadeh Sani Data Set"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.renene.2017.09.003"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2735242"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2017.07.012"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.renene.2017.08.071"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2017.2778428"},{"key":"ref49","author":"goldberg","year":"1989","journal-title":"Genetic Algorithms in Search Optimization and Machine Learning"},{"key":"ref7","first-page":"4107","article-title":"Active lifelong learning with ‘watchdog","author":"sun","year":"2018","journal-title":"Proc 32nd AAAI Conf Artif Intell"},{"key":"ref9","article-title":"Big data analytics in bioinformatics: A machine learning perspective","author":"kashyap","year":"2015","journal-title":"arXiv 1506 05101"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2018.01.006"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-16148-4_7"},{"key":"ref48","first-page":"277","article-title":"Impact of patients’ gender on parkinson’s disease using classification algorithms","volume":"6","author":"abdar","year":"2018","journal-title":"Journal of AI and Data Mining"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1145\/1961189.1961199"},{"key":"ref42","author":"mann","year":"2014","journal-title":"Heart Disease A Textbook of Cardiovascular Medicine"},{"key":"ref41","author":"aha","year":"2018","journal-title":"Heart Disease Data Set 4 Databases Cleveland Hungary Switzerland and the Va Long Beach"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.3390\/su11164407"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2018.11.004"},{"key":"ref73","article-title":"Machine learning techniques for medical analysis","author":"cheung","year":"2001"},{"key":"ref72","first-page":"340","article-title":"Applying feature selection and weight optimization techniques to enhance artificial neural network for heart disease diagnosis","author":"khan","year":"2019","journal-title":"Proc SAI Intell Syst Conf"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2019.104992"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-018-1379-8"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2007.06.004"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2009.01.041"},{"key":"ref74","first-page":"2186","article-title":"A new classification method to diagnosis heart disease: Supervised artificial immune system (AIRS)","author":"polat","year":"2005","journal-title":"Proc Turkish Symp Artif Intell Neural Netw"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2006.05.028"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.2478\/s13537-011-0032-y"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1007\/s13369-013-0934-1"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.12720\/jomb.1.1.26-29"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/ICDMW.2012.29"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.4018\/jkdb.2012010104"},{"key":"ref63","first-page":"542","article-title":"Diagnosis of coronary artery disease using data mining techniques based on symptoms and ECG features","volume":"82","author":"alizadehsani","year":"2012","journal-title":"Eur J Sci Res"},{"key":"ref64","doi-asserted-by":"crossref","first-page":"133","DOI":"10.5812\/cardiovascmed.10888","article-title":"Diagnosing coronary artery disease via data mining algorithms by considering laboratory and echocardiography features","volume":"2","author":"alizadehsani","year":"2013","journal-title":"Research in Cardiovascular Medicine"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2013.03.004"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.5120\/15195-3575"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.4015\/S1016237217500430"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.12.066"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2016.08.065"},{"key":"ref69","first-page":"1","article-title":"Feature selection with artificial bee colony algorithm on Z-Alizadeh sani dataset","author":"kili\u00e7","year":"2018","journal-title":"Proc Innov Intell Syst Appl Conf (ASYU)"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.im.2017.04.001"},{"key":"ref95","doi-asserted-by":"publisher","DOI":"10.1016\/j.bbe.2018.03.001"},{"key":"ref94","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2019.04.014"},{"key":"ref93","first-page":"1250","article-title":"Diagnosis of heart disease using an intelligent method: A hybrid ANN-GA approach","author":"akg\u00fcl","year":"2019","journal-title":"Proc Int Conf Fuzzy Syst Intell Contr"},{"key":"ref92","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2909969"},{"key":"ref91","doi-asserted-by":"publisher","DOI":"10.1109\/ICOA.2019.8727688"},{"key":"ref90","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-13-2285-3_75"},{"key":"ref98","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2017.09.030"},{"key":"ref96","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2017.06.003"},{"key":"ref97","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2016.08.018"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1155\/2015\/915124"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TITB.2009.2038906"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.cogsys.2018.12.001"},{"key":"ref13","doi-asserted-by":"crossref","first-page":"334","DOI":"10.1016\/j.eswa.2017.09.022","article-title":"Novel methodology of cardiac health recognition based on ECG signals and evolutionary-neural system","volume":"92","author":"p?awiak","year":"2018","journal-title":"Expert Syst Appl"},{"key":"ref14","doi-asserted-by":"crossref","first-page":"192","DOI":"10.1016\/j.swevo.2017.10.002","article-title":"Novel genetic ensembles of classifiers applied to myocardium dysfunction recognition based on ECG signals","volume":"39","author":"p?awiak","year":"2018","journal-title":"Swarm Evol Comput"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-018-19907-9"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-018-21417-7"},{"key":"ref82","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-017-1037-6"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.3390\/biom8010012"},{"key":"ref81","first-page":"274","article-title":"Diagnosis of cardiovascular diseases with Bayesian classifiers","volume":"11","author":"elsayad","year":"2015","journal-title":"JCS"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btu352"},{"key":"ref84","first-page":"719","article-title":"Prediction of heart disease using neural network","author":"karay?lan","year":"2017","journal-title":"Proc Int Conf Comput Sci Eng (UBMK)"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-38319-4"},{"key":"ref83","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2017.11.283"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2015.09.132"},{"key":"ref89","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-13-2414-7_6"},{"key":"ref85","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2018.05.009"},{"key":"ref86","doi-asserted-by":"publisher","DOI":"10.1016\/j.tele.2018.11.007"},{"key":"ref87","article-title":"A hybrid intelligent system framework for the prediction of heart disease using machine learning algorithms","volume":"2018","author":"ul haq","year":"2018","journal-title":"Mobile Inf Syst"},{"key":"ref88","article-title":"An optimized feature selection based on genetic approach and support vector machine for heart disease","author":"gokulnath","year":"2018","journal-title":"Cluster Comput"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8600701\/08903185.pdf?arnumber=8903185","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T11:32:11Z","timestamp":1641987131000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8903185\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"references-count":98,"URL":"https:\/\/doi.org\/10.1109\/access.2019.2953920","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019]]}}}