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 Book Chapter Book Chapter Faculty Publications- Book Chapter 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 Efficient Comparison on Machine Learning and Deep Neural Networks in Epileptic Seizure Prediction Subject The topic of the resource Area under curve (AUC); BONN dataset; Deep neural networks (DNN); Electroencephalogram (EEG); Epilepsy Description An account of the resource Electroencephalography signals have been widely used in cognitive neuroscience to identify the brains activity and behavior. These signals retrieved from the brain are most commonly used in detecting neurological disorders. Epilepsy is a neurological impairment in which the brains activity becomes abnormal, causing seizures or unusual behavior. Methods: The benchmark BONN dataset is used to compare and assess the models. The investigations were conducted using the traditional algorithms in machine learning algorithms such as KNN, naive Bayes, decision tree, random forest, and deep neural networks to exhibit the DNN models efficiency in epileptic seizure detection. Findings: Experiments and results prove that deep neural network model performs more than traditional machine learning algorithms, especially with the accuracy value of 97% and area under curve value of 0.994. Novelty: This research aims to focus on the efficiency of deep neural network techniques compared with traditional machine learning algorithms to make intelligent decisions by the clinicians to predict if the patient is affected by epileptic seizures or not. So, the focus of this paper helps the research community dive into the opportunities of innovations in deep neural networks. This research work compares the machine learning and deep neural network model, which supports the clinical practitioners in diagnosis and early treatment in epileptic seizure patients. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Roseline Mary R.; Zoraida B.S.E.; Ramamurthy B. Source A related resource from which the described resource is derived Lecture Notes on Data Engineering and Communications Technologies, Vol-114, pp. 677-687. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH 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/10.1007/978-981-16-9416-5_49" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-16-9416-5_49</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133696917&amp;doi=10.1007%2F978-981-16-9416-5_49&amp;partnerID=40&amp;md5=233cf38562a73c2f6650ab9e70d97beb" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133696917&amp;doi=10.1007%2f978-981-16-9416-5_49&amp;partnerID=40&amp;md5=233cf38562a73c2f6650ab9e70d97beb</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23674512 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 Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Roseline Mary R., Bharathidasan University, Tamil N?du, Tiruchirappalli, India, CHRIST (Deemed To Be University), Karnataka, Bangalore, India; Zoraida B.S.E., Bharathidasan University, Tamil N?du, Tiruchirappalli, India; Ramamurthy B., CHRIST (Deemed To Be University), Karnataka, Bangalore, India