Research Article A Reliable Machine Intelligence Model for Accurate Identification of Cardiovascular Diseases Using Ensemble Techniques Bhanu Prakash Doppala , 1 Debnath Bhattacharyya , 2 Midhunchakkaravarthy Janarthanan , 1 and Namkyun Baik 3 1 Department of Computer Science and Multimedia, Lincoln University College, Kuala Lumpur 47301, Malaysia 2 Computer Science and Engineering Department, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur 522302, India 3 Busan University of Foreign Studies, Geumjeong-gu, Busan, Republic of Korea Correspondence should be addressed to Namkyun Baik; white-knight@hanmail.net Received 29 April 2021; Revised 30 May 2021; Accepted 13 August 2021; Published 8 March 2022 Academic Editor: Dilbag Singh Copyright©2022BhanuPrakashDoppalaetal.isisanopenaccessarticledistributedundertheCreativeCommonsAttribution License,whichpermitsunrestricteduse,distribution,andreproductioninanymedium,providedtheoriginalworkisproperlycited. Machine intelligence can convert raw clinical data into an informational source that helps make decisions and predictions. As a result,cardiovasculardiseasesaremorelikelytobeaddressedasearlyaspossiblebeforeaffectingthelifespan.Artificialintelligence has taken research on disease diagnosis and identification to another level. Despite several methods and models coming into existence, there is a possibility of improving the classification or forecast accuracy. By selecting the connected combination of modelsandfeatures,wecanimproveaccuracy.Toachieveabettersolution,wehaveproposedareliableensemblemodelinthis paper. e proposed model produced results of 96.75% on the cardiovascular disease dataset obtained from the Mendeley Data Center, 93.39% on the comprehensive dataset collected from IEEE DataPort, and 88.24% on data collected from the Cleveland dataset. With this proposed model, we can achieve the safety and health security of an individual. 1. Introduction Cardiovasculardisease(CVD)isconsideredaprevalentand dangerous human ailment in recent days. According to the World Health Organization (WHO), more than 40 million deaths caused in the last decade due to noncommunicable diseases;oneamongthemisCVD.One-thirdofthesedeaths occurred in the countries that fall under low-income and middle-income groups. According to the statistics provided bytheCentersforDiseaseControlandPrevention(CDC),in America, one in every four deaths is caused due to heart diseases, which is about 610,000 deaths per year. Many factors such as high blood pressure, excessive alcohol consumption, cholesterol, stress, and obesity are playing a pivotal role. Different types of CVDs are as follows: angina which is mainly caused due to decreased blood flow into the heart, arrhythmia caused by an irregular heartbeat, a faster heartbeatcanbeconsideredastachycardia,andaslowerone canbeconsideredasbradycardia,congenitalheartdiseaseis anissuethatoccursduetotheheart’sanatomyatthetimeof birth [1], heart disease that affects the arteries can be con- sideredascoronaryarterydisease,suddenblockageofblood andoxygenflowcanbetreatedasanheartattack,andifthe condition affects the contrast and relaxation of the heart, it canbeconsideredasheartfailure.Basedonthediseasetype, proper diagnosis and treatment are required to avoid the worst conditions. Heart infections may be caused by dif- ferent viruses, parasites, or any kind of hazardous bacteria. Atherosclerosis is a circumstance that develops a substance knownasplaquewhichbuildsupinarterywalls.Becauseof this, heart arteries will become narrow, and blood flow will betoughtopassthrough,leadingtostroke.efirstkindis ischemic stroke (the maximum common form of stroke); Hindawi Journal of Healthcare Engineering Volume 2022, Article ID 2585235, 13 pages https://doi.org/10.1155/2022/2585235