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 Enhancing Stroke Prediction: Leveraging Ensemble Learning for Improved Healthcare Subject The topic of the resource Bagging; Ensemble Learning; Machine Learning; Stacking; Stroke Prediction Description An account of the resource Stroke, a potentially deadly medical disorder, requires excellent prediction and prevention measures to minimize its impact on individuals and healthcare systems. In this study, ensemble learning techniques are employed to enhance the accuracy of stroke prediction. The method combines four different machine learning algorithms, Adaboost, CatBoost, XGBoost, and LightGBM, to produce a strong predictive model. The data was composed of a rich set of demographic, medical, and lifestyle information. The data was preprocessed and features were engineered to maximize predictive performance. Results showed that the stacked ensemble model, which is composed of Adaboost, CatBoost, XGB, LightGBM, and Logistic Regression, meta-model, outperformed other models. The model has the potential to be used as a decision support tool in an early stroke risk assessment system, enhancing clinician decision-making and improving healthcare outcomes. 2024 IEEE. Creator An entity primarily responsible for making the resource James E.; Jacob L.; Reddy K.B. Source A related resource from which the described resource is derived 2024 15th International Conference on Computing Communication and Networking Technologies, ICCCNT 2024 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/ICCCNT61001.2024.10725209" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICCCNT61001.2024.10725209</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85211187039&amp;doi=10.1109%2FICCCNT61001.2024.10725209&amp;partnerID=40&amp;md5=9ad2b2a9cbfcab860755f54f62522c14" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85211187039&amp;doi=10.1109%2fICCCNT61001.2024.10725209&amp;partnerID=40&amp;md5=9ad2b2a9cbfcab860755f54f62522c14</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835037024-9 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 James E., CHRIST(Deemed to be University), Data Science, Lavasa, India; Jacob L., CHRIST(Deemed to be University), Data Science, Lavasa, India; Reddy K.B., CHRIST(Deemed to be University), Data Science, Lavasa, India