Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Implementation of a Heart Disease Risk Prediction Model Using Machine Learning Description An account of the resource Cardiovascular disease prediction aids practitioners in making more accurate health decisions for their patients. Early detection can aid people in making lifestyle changes and, if necessary, ensuring effective medical care. Machine learning (ML) is a plausible option for reducing and understanding heart symptoms of disease. The chi-square statistical test is performed to select specific attributes from the Cleveland heart disease (HD) dataset. Support vector machine (SVM), Gaussian Naive Bayes, logistic regression, LightGBM, XGBoost, and random forest algorithm have been employed for developing heart disease risk prediction model and obtained the accuracy as 80.32%, 78.68%, 80.32%, 77.04%, 73.77%, and 88.5%, respectively. The data visualization has been generated to illustrate the relationship between the features. According to the findings of the experiments, the random forest algorithm achieves 88.5% accuracy during validation for 303 data instances with 13 selected features of the Cleveland HD dataset. 2022 K. Karthick et al. Creator An entity primarily responsible for making the resource Karthick K.; Aruna S.K.; Samikannu R.; Kuppusamy R.; Teekaraman Y.; Thelkar A.R. Source A related resource from which the described resource is derived Computational and Mathematical Methods in Medicine, Vol-2022 Publisher An entity responsible for making the resource available Hindawi Limited Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1155/2022/6517716" target="_blank" rel="noreferrer noopener">https://doi.org/10.1155/2022/6517716</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130383354&amp;doi=10.1155%2F2022%2F6517716&amp;partnerID=40&amp;md5=544dedae7bb4676824ecc0c8bdc09ec5" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130383354&amp;doi=10.1155%2f2022%2f6517716&amp;partnerID=40&amp;md5=544dedae7bb4676824ecc0c8bdc09ec5</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access; Green Open Access Relation A related resource ISSN: 1748670X; PubMed ID: 35547562 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Karthick K., Department Of Electrical And Electronics Engineering, Gmr Institute Of Technology, Andhra Pradesh, Rajam, India; Aruna S.K., Department Of Computer Science And Engineering, School Of Engineering And Technology, Christ (Deemed To Be University), Karnataka, Bangalore, India; Samikannu R., Department Of Electrical Computer And Telecommunications Engineering, Botswana International University Of Science And Technology, Palapye, Botswana; Kuppusamy R., Department Of Electrical And Electronics Engineering, Sri Sairam College Of Engineering, Bangalore, India; Teekaraman Y., Department Of Electronic And Electrical Engineering, The University Of Sheffield, Sheffield, S1 3JD, United Kingdom; Thelkar A.R., Faculty Of Electrical &amp; Computer Engineering, Jimma Institute Of Technology, Jimma University, Ethiopia