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 Bipolar Disease Data Prediction Using Adaptive Structure Convolutional Neuron Classifier Using Deep Learning Subject The topic of the resource Bipolar disorder; Chi-square score; Feature; Features testing; Neural network; Visualise data; Weights Description An account of the resource The symptoms of bipolar disorder include extreme mood swings. It is the most common mental health disorder and is often overlooked in all age groups. Bipolar disorder is often inherited, but not all siblings in a family will have bipolar disorder. In recent years, bipolar disorder has been characterised by unsatisfactory clinical diagnosis and treatment. Relapse rates and misdiagnosis are persistent problems with the disease. Bipolar disorder has yet to be precisely determined. To overcome this issue, the proposed work Adaptive Structure Convolutional Neuron Classifier (ASCNC) method to identify bipolar disorder. The Imbalanced Subclass Feature Filtering (ISF2) for visualising bipolar data was originally intended to extract and communicate meaningful information from complex bipolar datasets in order to predict and improve day-to-day analytics. Using the Scaled Features Chi-square Testing (SFCsT), extract the maximum dimensional features in the bipolar dataset and assign weights. In order to select features that have the largest Chi-square score, the Chi-square value for each feature should be calculated between it and the target. Before extracting features for the training and testing method, evaluate the Softmax neural activation function to compute the average weight of the features before the feature weights. Diagnostic criteria for bipolar disorder are discussed as an assessment strategy that helps diagnose the disorder. It then discusses appropriate treatments for children and their families. Finally, it presents some conclusions about managing people with bipolar disorder. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Ramkumar M.; Shanmugaraja P.; Dhiyanesh B.; Kiruthiga G.; Anusuya V.; Bejoy B.J. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-757 LNNS, pp. 131-143. 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 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-99-5166-6_10" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-99-5166-6_10</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174446027&amp;doi=10.1007%2F978-981-99-5166-6_10&amp;partnerID=40&amp;md5=6a67f6a754b64aa9ba2725c78ef07bcc" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174446027&amp;doi=10.1007%2f978-981-99-5166-6_10&amp;partnerID=40&amp;md5=6a67f6a754b64aa9ba2725c78ef07bcc</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-981995165-9 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 Ramkumar M., Knowledge Institute of Technology, Salem, India; Shanmugaraja P., Sona College of Technology, Salem, India; Dhiyanesh B., Dr. N.G.P. Institute of Technology, Coimbatore, India; Kiruthiga G., IES College of Engineering, Thrissur, India; Anusuya V., Ramco Institute of Technology, Rajapalayam, India; Bejoy B.J., CHRIST (Deemed to be University), Bangalore, India