{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,7]],"date-time":"2026-02-07T09:38:11Z","timestamp":1770457091671,"version":"3.49.0"},"reference-count":48,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100014188","name":"Ministry of Science and ICT South Korea","doi-asserted-by":"publisher","award":["IITP-2021-2020-0-01462"],"award-info":[{"award-number":["IITP-2021-2020-0-01462"]}],"id":[{"id":"10.13039\/501100014188","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003661","name":"Korea Institute for Advancement of Technology","doi-asserted-by":"publisher","award":["No. N0002429"],"award-info":[{"award-number":["No. N0002429"]}],"id":[{"id":"10.13039\/501100003661","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","award":["2017R1D1A1A02018718"],"award-info":[{"award-number":["2017R1D1A1A02018718"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/access.2021.3099795","type":"journal-article","created":{"date-parts":[[2021,7,26]],"date-time":"2021-07-26T21:48:32Z","timestamp":1627336112000},"page":"113692-113704","source":"Crossref","is-referenced-by-count":48,"title":["A Stacking Ensemble Prediction Model for the Occurrences of Major Adverse Cardiovascular Events in Patients With Acute Coronary Syndrome on Imbalanced Data"],"prefix":"10.1109","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5126-4984","authenticated-orcid":false,"given":"Huilin","family":"Zheng","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2453-4571","authenticated-orcid":false,"given":"Syed Waseem Abbas","family":"Sherazi","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5526-946X","authenticated-orcid":false,"given":"Jong Yun","family":"Lee","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.1967.1053964"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/1961189.1961199"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.3233\/ICA-2009-0314"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1613\/jair.953"},{"key":"ref31","first-page":"10","article-title":"Balancing training data for automated annotation of keywords: A case study","author":"batista","year":"2003","journal-title":"Proc WOB"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICIFE.2010.5609385"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/5254.708428"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/S0895-4356(01)00372-9"},{"key":"ref35","first-page":"1","article-title":"Classification of imbalance data using Tomek Link (T-Link) combined with random under-sampling (RUS) as a data reduction method","volume":"s1","author":"elhassan","year":"2017","journal-title":"Global Journal on Technology & Optimization"},{"key":"ref34","doi-asserted-by":"crossref","first-page":"769","DOI":"10.1109\/TSMC.1976.4309452","article-title":"Two modifications of CNN","volume":"smc 6","author":"tomek","year":"1976","journal-title":"IEEE Trans Syst Man Cybern"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.3390\/app10093307"},{"key":"ref40","author":"breiman","year":"1984","journal-title":"Classification and Regression Trees"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1177\/1460458219871780"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0249338"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.bdr.2015.12.001"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2016.12.035"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/17.6.520"},{"key":"ref16","first-page":"251","article-title":"A study of k-nearest neighbour as an imputation method","volume":"87","author":"batista","year":"2002","journal-title":"Proc HIS"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2164-11-15"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.3390\/ijerph13090912"},{"key":"ref19","first-page":"2155","article-title":"Predicting major adverse cardiac events (MACE) one year after percutaneous coronary intervention (PCI) procedure: Development and validation of models","volume":"7","author":"manan","year":"2020","journal-title":"Critical Review"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1155\/2014\/972786"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1186\/s12911-019-0754-7"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.cjca.2016.02.053"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.jacc.2007.10.034"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.gheart.2013.01.001"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/11538059_91"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijcard.2016.10.080"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.3390\/diagnostics9040178"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0224502"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1016\/j.jacc.2014.09.017","article-title":"2014 AHA\/ACC guideline for the management of patients with non–ST-elevation acute coronary syndromes: A report of the American College of Cardiology\/American Heart Association Task Force on Practice Guidelines","volume":"64","author":"amsterdam","year":"2014","journal-title":"J Amer College Cardiol"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TSM.2019.2904306"},{"key":"ref1","year":"2021"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1080\/14786440009463897"},{"key":"ref20","article-title":"Development of an ensemble machine learning prognostic model to predict 60-day risk of major adverse cardiac events in adults with chest pain","author":"kennedy","year":"0","journal-title":"medRxiv"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/IRASET48871.2020.9092082"},{"key":"ref48","first-page":"559","article-title":"Imbalanced-learn: A Python toolbox to tackle the curse of imbalanced datasets in machine learning","volume":"18","author":"lemaitre","year":"2017","journal-title":"J Mach Learn Res"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2016.09.038"},{"key":"ref47","doi-asserted-by":"crossref","first-page":"1","DOI":"10.2307\/2331554","article-title":"The probable error of a mean","volume":"6","author":"gosset","year":"1908","journal-title":"Biometrika"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-018-1270-2"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939785"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2929866"},{"key":"ref41","first-page":"18","article-title":"Classification and regression by randomforest","volume":"2","author":"liaw","year":"2002","journal-title":"R News"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1186\/s13049-020-00786-x"},{"key":"ref44","first-page":"124","article-title":"Evolving a locally optimized instance based learner","author":"johansson","year":"2008","journal-title":"Proc Int Conf Data Mining"},{"key":"ref26","year":"2021"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1006\/jcss.1997.1504"},{"key":"ref25","first-page":"58","article-title":"Multicollinearity: Causes, effects and remedies","volume":"1","author":"paul","year":"2006","journal-title":"IASRI New Delhi"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9312710\/09495807.pdf?arnumber=9495807","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,17]],"date-time":"2021-12-17T19:57:48Z","timestamp":1639771068000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9495807\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":48,"URL":"https:\/\/doi.org\/10.1109\/access.2021.3099795","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}