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The dataset consists of 14 main attributes used for performing the analysis. Various promising results are achieved and are validated using accuracy and confusion matrix. The dataset consists of some irrelevant features which are handled using Isolation Forest, and data are also normalized for getting better results. And how this study can be combined with some multimedia technology like mobile devices is also discussed. Using deep learning approach, 94.2% accuracy was obtained.<\/jats:p>","DOI":"10.1155\/2021\/8387680","type":"journal-article","created":{"date-parts":[[2021,7,2]],"date-time":"2021-07-02T02:05:08Z","timestamp":1625191508000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":473,"title":["Prediction of Heart Disease Using a Combination of Machine Learning and Deep Learning"],"prefix":"10.1155","volume":"2021","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1267-7257","authenticated-orcid":false,"given":"Rohit","family":"Bharti","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9019-8230","authenticated-orcid":false,"given":"Aditya","family":"Khamparia","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5106-7609","authenticated-orcid":false,"given":"Mohammad","family":"Shabaz","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6343-5197","authenticated-orcid":false,"given":"Gaurav","family":"Dhiman","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4506-6997","authenticated-orcid":false,"given":"Sagar","family":"Pande","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2149-9077","authenticated-orcid":false,"given":"Parneet","family":"Singh","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2021,7]]},"reference":[{"key":"e_1_2_8_1_2","volume-title":"Cardiovascular Diseases","author":"World Health Organization","year":"2020"},{"key":"e_1_2_8_2_2","volume-title":"Classes of Heart Failure","author":"American Heart Association","year":"2020"},{"key":"e_1_2_8_3_2","volume-title":"Heart Failure","author":"American Heart Association","year":"2020"},{"key":"e_1_2_8_4_2","article-title":"Understanding machine learning","author":"Shalev-Shwartz S.","year":"2020","journal-title":"From Theory to Algorithms"},{"key":"e_1_2_8_5_2","article-title":"The elements of statistical learning","author":"Hastie T.","year":"2020","journal-title":"Data Mining, Inference, and Prediction"},{"key":"e_1_2_8_6_2","article-title":"Machine learning","author":"Marsland S.","year":"2020","journal-title":"An Algorithmic Perspective"},{"key":"e_1_2_8_7_2","doi-asserted-by":"publisher","DOI":"10.1109\/jbhi.2013.2244902"},{"key":"e_1_2_8_8_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2016.01.082"},{"key":"e_1_2_8_9_2","doi-asserted-by":"publisher","DOI":"10.1109\/jbhi.2014.2337752"},{"key":"e_1_2_8_10_2","doi-asserted-by":"crossref","unstructured":"ZhangR. 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