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 Marriwala, Nikhil Kumar; Kaushik, Ruchi; Appathurai, Ahilan; Shukla, Vinod Kumar; Sandeep, J. Title A name given to the resource Deep Learning-Based Consolidated Disease Classification in Health Data Management 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 Lecture Notes in Networks and Systems;Volume;1537 LNNS;pp.197-207 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-96-9242-2_15" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-96-9242-2_15</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105023289381?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105023289381?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 Marriwala N.K., Department of Electronics and Communication Engineering, University Institute of Engineering and Technology, Kurukshetra University, Haryana, Kurukshetra, India; Kaushik R., Xavier Institute of Management and Entrepreneurship, Bengaluru, India; Appathurai A., Department of Electronics and Communication Engineering, PSN College of Engineering and Technology, Tamilnadu, Tirunelveli, India; Shukla V.K., School of Engineering Architecture Interior Design, Amity University Dubai, Dubai International Academic City, Dubai, United Arab Emirates; Sandeep J., CHRIST (Deemed to be University), Bangalore, India Description An account of the resource Healthcare data management is critical for ensuring comprehensive and high-quality medical treatment. Sensitive patient data management has a potential new option thanks to blockchain technology. However, existing blockchain-based healthcare data management systems face challenges in scalability, integration, and regulatory compliance. To address these issues, a novel blockchain-based healthcare data management system has been proposed to provide a secure, decentralized, and interoperable platform for managing sensitive patients medical information. Proposed approach involves collecting comprehensive health measurements from patients using wearable sensors and ensuring the security and integrity of patient data through robust user verification protocols. Artificial Neural Networks (ANNs) are employed to consolidate disease symptoms, enhancing the efficiency and accuracy of data analysis. The results and comparative analysis showcase the efficiency of the proposed method in terms of precision, accuracy, recall, search accuracy and F1-score. The accuracy of the proposed method is improved by 12.9%, 6.07%, and 14.28% when related to the existing ACTION-EHR, BSDMF, and BlockMedCare techniques respectively. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025. Subject The topic of the resource Artificial Neural Networks; Blockchain; Deep learning; Healthcare; Medical data Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Relation A related resource ISSN: 23673370; ISBN: 978-981969241-5; 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