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 Conference Papers Conference Paper Faculty Publications- Conference Papers 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 A Hybrid Machine Learning Model (NB-SVM) for Cardiovascular Disease Prediction Subject The topic of the resource Cardiovascular Disease; Machine Learning (ML); Prediction; SVM Description An account of the resource One of the leading causes of death is heart disease. The prediction of cardiovascular disease remains as a significant challenge in the clinical data analysis domain. Although predicting cardiac disease with a high degree of accuracy is highly challenging, it is possible with Machine Learning (ML) approaches. The implementation of an effective ML system can minimize the need for additional medical testing, minimize human intervention, and predict cardiovascular diseases with high accuracy. This type of assessment can reduce the disease's severity and mortality rate. Only a few studies show how machine learning techniques might forecast cardiac disease. This study presents a method for improving cardiovascular disease prediction accuracy using Machine Learning (ML) technologies. Various feature combinations and many known classification techniques are used to develop various cardio vascular disease prediction models. The proposed hybrid Machine Learning (ML) prediction model for heart disease leverages a higher degree of performance and accuracy. 2023 IEEE. Creator An entity primarily responsible for making the resource Srinadh V.; Maram B.; Mandala J.; Maram R.R. Source A related resource from which the described resource is derived 2nd International Conference on Sustainable Computing and Data Communication Systems, ICSCDS 2023 - Proceedings, pp. 7-13. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICSCDS56580.2023.10104808" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICSCDS56580.2023.10104808</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85159090134&amp;doi=10.1109%2FICSCDS56580.2023.10104808&amp;partnerID=40&amp;md5=207f9b16b2cdd1e56c5341c0c146c13c" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85159090134&amp;doi=10.1109%2fICSCDS56580.2023.10104808&amp;partnerID=40&amp;md5=207f9b16b2cdd1e56c5341c0c146c13c</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166549199-0 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 Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Srinadh V., Gmr Institute of Technology, Department of CSE, AP, Rajam, India; Maram B., University Centre for Research and Development, Chandigarh University, Apex Institute Technology-Computer Science and Engineering, Mohali, Punjab, Gharuan, 140413, India; Mandala J., Christ(Deemed to Be) University, Department of Computer Science and Engineering, Banglore, India; Maram R.R., Cse, Chitkara University, HP, Baddi, India