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 Revolutionizing Arrhythmia Classification: Unleashing the Power of Machine Learning and Data Amplification for Precision Healthcare Subject The topic of the resource Arrhythmia Classification; Diagnostic Accuracy; Electrocardiogram (ECG) Signals; Healthcare Analytics; Machine Learning Models; Principal Component Analysis (PCA); Random Oversampling Description An account of the resource This paper presents a comprehensive exploration of arrhythmia classification using machine learning techniques applied to electrocardiogram (ECG) signals. The study delves into the development and evaluation of diverse models, including K-Nearest Neighbors, Logistic Regression, Decision Tree Classifier, Linear and Kernelized Support Vector Machines, and Random Forest. The models undergo rigorous analysis, emphasizing precision and recall due to the categorical nature of the dependent variable. To enhance model robustness and address class imbalances, Principal Component Analysis (PCA) and Random Oversampling are employed. The results highlight the effectiveness of the Kernelized SVM with PCA, achieving a remarkable accuracy of 99.52%. Additionally, the paper discusses the positive impact of feature reduction and oversampling on model performance. The study concludes with insights into the significance of PCA and Random Oversampling in refining arrhythmia classification models, offering potential avenues for future research in healthcare analytics. 2024 IEEE. Creator An entity primarily responsible for making the resource Arpan; Singh M.; Garg P.; Srivastava S.; Saggu A.K. Source A related resource from which the described resource is derived Proceedings - 2024 6th International Conference on Computational Intelligence and Communication Technologies, CCICT 2024, pp. 516-522. 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 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/CCICT62777.2024.00086" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/CCICT62777.2024.00086</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85199920068&amp;doi=10.1109%2FCCICT62777.2024.00086&amp;partnerID=40&amp;md5=6b099fe0082abb54acab81aeb0634aa7" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85199920068&amp;doi=10.1109%2fCCICT62777.2024.00086&amp;partnerID=40&amp;md5=6b099fe0082abb54acab81aeb0634aa7</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835037462-9 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 Arpan, School of Sciences, Christ Deemed to be university, Delhi NCR, India; Singh M., School of Sciences, Christ Deemed to be university, Delhi NCR, India; Garg P., SAITM, Delhi NCR, Gurgoan, India; Srivastava S., School of Sciences, Christ Deemed to be university, Delhi NCR, India; Saggu A.K., School of Sciences, Christ Deemed to be university, Delhi NCR, India