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 Faculty Publications 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/. Creator An entity primarily responsible for making the resource Poornima, N.V.; Resmi, K.R.; Rohini, V.; Khatri, Himank; Prabhusundhar, P. Title A name given to the resource Revolutionizing Schizophrenia Care for the Elderly: Blockchain-driven Predictive Models for Personalized Support Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived 2025 2nd International Conference on New Frontiers in Communication, Automation, Management and Security, ICCAMS 2025; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICCAMS65118.2025.11234571" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICCAMS65118.2025.11234571</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105030041675?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105030041675?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Poornima N.V., Symbiosis International( Deemed University), Faculty of Management, Symbiosis Centre for Management Studies, Pune, India; Resmi K.R., Christ(Deemed to be) University, Dept of Computer Science, Bengaluru, India; Rohini V., Christ(Deemed to be) University, Dept of Computer Science, Bengaluru, India; Khatri H., Christ(Deemed to be) University, Dept of Computer Science, Bengaluru, India; Prabhusundhar P., Gobi Arts and Science College, Dept of Computer Science, Gobichettipalayam, India Description An account of the resource The escalation of mental health challenges encountered by the elderly community, novel research is carried out by adopting twin cutting-edge technologies, artificial intelligence (AI) and Blockchain, which are proposed in this study, focusing on schizophrenia, which is a complex mental disorder, to raise awareness of the disease, reduce negativity, and ensure positive support. symptom prediction and disease classification models have been developed using Machine learning (ML) algorithms and symptom datasets for schizophrenia prediction. Natural Language processing is also employed to find the speech patterns for mental health illness indications. The outcomes predicted with AI models are transformed into a detailed report by leveraging Llama 3.3, ensuring understanding and encouraging people to have community conversations. The generated reports are stored in the decentralized file system to achieve more security and privacy. It ensures the tamper-free nature of Blockchain, with an interactive user interface and multilingual capabilities. This research outcome allows individuals to know the early disease symptoms and get timely assistance; it ensures an illuminating way toward improved mental well-being for senior citizens. 2025 IEEE. Subject The topic of the resource Artificial Intelligence; Blockchain Technology; Decentralized; Natural Language Processing; Schizophrenia Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-833159610-1; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online