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 An Innovative Method for Brain Stroke Prediction based on Parallel RELM Model Subject The topic of the resource Brain Stroke Prediction; Extreme learning machine (ELM); Recursive Feature Elimination (RFE) Description An account of the resource Strokes occur when blood supply to the brain is suddenly cut off or severely impaired. Stroke victims may experience cell death as a result of oxygen and food shortages. The effectiveness of various predictive data mining algorithms in illness prediction has been the subject of numerous studies. The three stages that make up this suggested method are feature selection, model training, and preprocessing. Missing value management, numeric value conversion, imbalanced dataset handling, and data scaling are all components of data preparation. The chi-square and RFE methods are utilized in feature selection. The former assesses feature correlation, while the latter recursively seeks for ever-smaller feature sets to choose features. The whole time the model was being trained, a Parallel RELM was used. This new method outperforms both ELM and RELM, achieving an average accuracy of 95.84%. 2024 IEEE. Creator An entity primarily responsible for making the resource Kavitha K.; Devi V.J.; Alam M.S.; Sindhu V.; Gandhewar N.; Kalra G. Source A related resource from which the described resource is derived 4th International Conference on Sustainable Expert Systems, ICSES 2024 - Proceedings, pp. 1637-1643. 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/ICSES63445.2024.10763097" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICSES63445.2024.10763097</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85214838562&amp;doi=10.1109%2FICSES63445.2024.10763097&amp;partnerID=40&amp;md5=eb53335ae8ea8b6b0b8388c05ba79d27" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85214838562&amp;doi=10.1109%2fICSES63445.2024.10763097&amp;partnerID=40&amp;md5=eb53335ae8ea8b6b0b8388c05ba79d27</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-833154036-4 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 Kavitha K., Gmr Institute of Technology, Department of CSE-AI&amp;ML, Andhra Pradesh, Razam, India; Devi V.J., Aditya Institute of Technology and Management, Department of Information Technology, Andhra Pradesh, Tekkali, India; Alam M.S., College of Engineering and Computer Science, Jazan University, Department of Computer Science, Jizan, Saudi Arabia; Sindhu V., Christ University, Department of Computer Science, Karnataka, Bangalore, India; Gandhewar N., Shri Ramdeobaba College of Engineering and Management, Department of Aiml, Nagpur, India; Kalra G., Maharishi Markandeshwar (Deemed to be University), Department of Mechanical Engineering, Mullana, Ambala, India