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In this paper, ensemble learning methods are used to enhance the performance of predicting heart disease. Two features of extraction methods: linear discriminant analysis (LDA) and principal component analysis (PCA), are used to select essential features from the dataset. The comparison between machine learning algorithms and ensemble learning methods is applied to selected features. The different methods are used to evaluate models: accuracy, recall, precision, F\u2010measure, and ROC.The results show the bagging ensemble learning method with decision tree has achieved the best performance.<\/jats:p>","DOI":"10.1155\/2021\/6663455","type":"journal-article","created":{"date-parts":[[2021,2,10]],"date-time":"2021-02-10T19:43:46Z","timestamp":1612986226000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":122,"title":["Improving the Accuracy for Analyzing Heart Diseases Prediction Based on the Ensemble Method"],"prefix":"10.1155","volume":"2021","author":[{"given":"Xiao-Yan","family":"Gao","sequence":"first","affiliation":[]},{"given":"Abdelmegeid","family":"Amin Ali","sequence":"additional","affiliation":[]},{"given":"Hassan","family":"Shaban Hassan","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8743-1641","authenticated-orcid":false,"given":"Eman M.","family":"Anwar","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2021,2,10]]},"reference":[{"key":"e_1_2_9_1_2","doi-asserted-by":"publisher","DOI":"10.1111\/jcpe.13189"},{"key":"e_1_2_9_2_2","unstructured":"World Health Organization.http:\/\/www.who.int\/cardiovasculardiseases\/en. 2019."},{"key":"e_1_2_9_3_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2012.08.028"},{"key":"e_1_2_9_4_2","doi-asserted-by":"publisher","DOI":"10.1007\/s42978-019-0001-z"},{"key":"e_1_2_9_5_2","doi-asserted-by":"publisher","DOI":"10.5120\/2368-3115"},{"key":"e_1_2_9_6_2","doi-asserted-by":"publisher","DOI":"10.3233\/JIFS-179566"},{"key":"e_1_2_9_7_2","doi-asserted-by":"publisher","DOI":"10.3390\/e21080763"},{"key":"e_1_2_9_8_2","doi-asserted-by":"publisher","DOI":"10.14419\/ijet.v7i4.28646"},{"key":"e_1_2_9_9_2","doi-asserted-by":"crossref","unstructured":"ObasiT.andShafiqM. 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