{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,15]],"date-time":"2026-04-15T18:25:11Z","timestamp":1776277511969,"version":"3.50.1"},"reference-count":54,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61370073"],"award-info":[{"award-number":["61370073"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National High Technology Research and Development Program of China","award":["2007AA01Z423"],"award-info":[{"award-number":["2007AA01Z423"]}]},{"name":"Project of Science and Technology Department of Sichuan Province"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2020.3001149","type":"journal-article","created":{"date-parts":[[2020,6,9]],"date-time":"2020-06-09T21:09:41Z","timestamp":1591736981000},"page":"107562-107582","source":"Crossref","is-referenced-by-count":501,"title":["Heart Disease Identification Method Using Machine Learning Classification in E-Healthcare"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2192-1450","authenticated-orcid":false,"given":"Jian Ping","family":"Li","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7774-5604","authenticated-orcid":false,"given":"Amin Ul","family":"Haq","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4145-7176","authenticated-orcid":false,"given":"Salah Ud","family":"Din","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7402-6498","authenticated-orcid":false,"given":"Jalaluddin","family":"Khan","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5009-3290","authenticated-orcid":false,"given":"Asif","family":"Khan","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0582-9761","authenticated-orcid":false,"given":"Abdus","family":"Saboor","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1111\/j.0006-341X.2000.00909.x"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2778268"},{"key":"ref33","first-page":"1","volume":"13","author":"silva","year":"2015","journal-title":"Feature Selection"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2005.159"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2018.07.014"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2014.05.042"},{"key":"ref37","first-page":"1531","article-title":"Fast binary feature selection with conditional mutual information","volume":"5","author":"fleuret","year":"2004","journal-title":"J Mach Learn Res"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-19425-7_13"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1111\/j.2517-6161.1996.tb02080.x"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2010.05.037"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2945527"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2923707"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.3233\/JIFS-191461"},{"key":"ref2","first-page":"255","article-title":"A comparison of the perceptive approaches for preprocessing the data set for predicting fertility success rate","volume":"9","author":"durairaj","year":"2016","journal-title":"J Control Theory Applied"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1038\/nrcardio.2010.165"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2016.10.020"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICCCT.2010.5640377"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.3923\/jai.2012.47.55"},{"key":"ref24","first-page":"4","article-title":"Classification of heart disease using artificial neural network and feature subset selection","volume":"13","author":"jabbar","year":"2013","journal-title":"Glob J Comput Sci Technol Neural Artif Intell"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2007.06.004"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/I2CT45611.2019.9033683"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1155\/2017\/8272091"},{"key":"ref50","first-page":"1","article-title":"Recognition of the Parkinson&#x2019;s disease using a hybrid feature selection approach","volume":"39","author":"ul haq","year":"2020","journal-title":"J Intell Fuzzy Syst"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.3390\/s20092649"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1155\/2018\/3860146"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2906350"},{"key":"ref52","first-page":"101","article-title":"Comparative analysis of the classification performance of machine learning classifiers and deep neural network classifier for prediction of parkinson disease","author":"haq","year":"2018","journal-title":"Proc 15th Int Comput Conf Wavelet Act Media Technol Inf Process (ICCWAMTIP)"},{"key":"ref10","first-page":"224","article-title":"Fuzzy logic based decision support system for component security evaluation","volume":"15","author":"nazir","year":"2018","journal-title":"Int Arab J Inf Technol"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/0002-9149(89)90524-9"},{"key":"ref40","author":"vapnik","year":"2013","journal-title":"The Nature of Statistical Learning Theory"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/0004-3702(89)90046-5"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-017-1059-8"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/MIS.2017.38"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2016.2591068"},{"key":"ref16","article-title":"Model evaluation, model selection, and algorithm selection in machine learning","author":"raschka","year":"2018","journal-title":"arXiv 1811 12808"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/AICCSA.2008.4493524"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.5815\/ijisa.2015.12.08"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2008.09.013"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.4236\/jilsa.2013.53019"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1161\/CIR.0b013e31824f2173"},{"key":"ref6","first-page":"363","article-title":"The heart failure epidemic","volume":"33","author":"lopez-sendon","year":"2011","journal-title":"Medicographia"},{"key":"ref5","first-page":"150","article-title":"Artificial neural networks in medical diagnosis","volume":"8","author":"al-shayea","year":"2011","journal-title":"Int J Comput Sci Issues"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1098\/rsif.2010.0456"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1161\/CIR.0b013e31820a55f5"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/ICCWAMTIP47768.2019.9067519"},{"key":"ref9","first-page":"1009","article-title":"A systematic literature review on cardiovascular disorder identification using knowledge mining and machine learning method","volume":"7","author":"ansarullah","year":"2019","journal-title":"Int J Recent Technol Eng"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2005.06.070"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2011.01.120"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1515\/9783110621105-004"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1023\/A:1007465528199"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/S0925-2312(03)00373-4"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-007-0114-2"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1145\/1961189.1961199"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511801389"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/09112202.pdf?arnumber=9112202","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,17]],"date-time":"2021-12-17T19:52:35Z","timestamp":1639770755000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9112202\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":54,"URL":"https:\/\/doi.org\/10.1109\/access.2020.3001149","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]}}}