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 Articles Article Faculty Publications -Articles 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 Design of Smart and Secured Healthcare Service Using Deep Learning with Modified SHA-256 Algorithm Subject The topic of the resource CNN-LSTM; deep learning; DNN; encryption; hospital management system; SHA-256 algorithm Description An account of the resource Background: The modern era of human society has seen the rise of a different variety of diseases. The mortality rate, therefore, increases without adequate care which consequently causes wealth loss. It has become a priority of humans to take care of health and wealth in a genuine way. Methods: In this article, the authors endeavored to design a hospital management system with secured data processing. The proposed approach consists of three different phases. In the first phase, a smart healthcare system is proposed for providing an effective health service, especially to patients with a brain tumor. An application is developed that is compatible with Android and Microsoft-based operating systems. Through this application, a patient can enter the system either in person or from a remote place. As a result, the patient data are secured with the hospital and the patient only. It consists of patient registration, diagnosis, pathology, admission, and an insurance service module. Secondly, deep-learning-based tumor detection from brain MRI and EEG signals is proposed. Lastly, a modified SHA-256 encryption algorithm is proposed for secured medical insurance data processing which will help detect the fraud happening in healthcare insurance services. Standard SHA-256 is an algorithm which is secured for short data. In this case, the security issue is enhanced with a long data encryption scheme. The algorithm is modified for the generation of a long key and its combination. This can be applicable for insurance data, and medical data for secured financial and disease-related data. Results: The deep-learning models provide highly accurate results that help in deciding whether the patient will be admitted or not. The details of the patient entered at the designed portal are encrypted in the form of a 256-bit hash value for secured data management. 2022 by the authors. Creator An entity primarily responsible for making the resource Mohanty M.D.; Das A.; Mohanty M.N.; Altameem A.; Nayak S.R.; Saudagar A.K.J.; Poonia R.C. Source A related resource from which the described resource is derived Healthcare (Switzerland), Vol-10, No. 7 Publisher An entity responsible for making the resource available MDPI 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/10.3390/healthcare10071275" target="_blank" rel="noreferrer noopener">https://doi.org/10.3390/healthcare10071275</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85137307467&amp;doi=10.3390%2Fhealthcare10071275&amp;partnerID=40&amp;md5=23de04b41c0748b057e7553da3732d04" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85137307467&amp;doi=10.3390%2fhealthcare10071275&amp;partnerID=40&amp;md5=23de04b41c0748b057e7553da3732d04</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access; Green Open Access Relation A related resource ISSN: 22279032 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 Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Mohanty M.D., Department of Electrical Engineering, Campus 1, Technische Universit, Hamburg, 21073, Germany; Das A., Department of Electronics and Communication Engineering, Institute of Technical Education and Research (ITER), Siksha O Anusandhan (Deemed to be University, Bhubaneswar, 701030, India; Mohanty M.N., Department of Electronics and Communication Engineering, Institute of Technical Education and Research (ITER), Siksha O Anusandhan (Deemed to be University, Bhubaneswar, 701030, India; Altameem A., Department of Computer Science and Engineering, College of Applied Studies and Community Services, King Saud University, Riyadh, 11533, Saudi Arabia; Nayak S.R., Amity School of Engineering and Technology, Amity University Uttar Pradesh, Noida, 201303, India; Saudagar A.K.J., Information Systems Department, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, 11432, Saudi Arabia; Poonia R.C., Department of Computer Science, CHRIST (Deemed to be University, Bangalore, 560029, India