IoT and Cloud Computing-Based Healthcare Information Systems
1st Edition
Published on 7. July 2023
356 pages
978-1-000-61338-4 (ISBN)
Description
This new volume features new and innovative research on the positive contributions of IoT and cloud technology in healthcare information systems for the improvement of patient care and disease management, highlighting the challenges and difficulties along with solutions and strategies. The authors focus on theories, systems, methods, algorithms, and applications and showcase the interface between e-health and communication technologies and their beneficial contribution to building efficient and secure healthcare information systems.
Healthcare information systems involve data generation, compilation, arrangement, examination and synthesis, and communication and use. This incorporates frameworks that gather, store, maintain, and protect patients' electronic medical information and records, providing an invaluable resource for supporting medical services strategies and choices. This volume discusses a multitude of diverse new information technologies in telemedicine, in security for healthcare systems, for medical image authentication, in pulse oximetry via Bluetooth, for virus detection via smartphones, for tumor extraction via extreme learning machine and k-means clustering, for the detection of cancerous cells, for music therapy for mental health purposes, and much more.
Healthcare information systems involve data generation, compilation, arrangement, examination and synthesis, and communication and use. This incorporates frameworks that gather, store, maintain, and protect patients' electronic medical information and records, providing an invaluable resource for supporting medical services strategies and choices. This volume discusses a multitude of diverse new information technologies in telemedicine, in security for healthcare systems, for medical image authentication, in pulse oximetry via Bluetooth, for virus detection via smartphones, for tumor extraction via extreme learning machine and k-means clustering, for the detection of cancerous cells, for music therapy for mental health purposes, and much more.
More details
Series
Edition
1. Auflage
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Illustrations
13 Tables, black and white; 90 Illustrations, black and white
ISBN-13
978-1-000-61338-4 (9781000613384)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Anand Sharma | Hiren Kumar Deva Sarma | S. R. Biradar
IoT and Cloud Computing-Based Healthcare Information Systems
Book
07/2023
1st Edition
Apple Academic Press Inc.
€205.90
Shipment within 3-4 weeks
Persons
Anand Sharma, PhD, has been working at Mody University of Science and Technology, Lakshmangarh, India. With more than 14 years of experience in teaching and research, he has organised conferences, seminars, and workshops and has presented papers and delivered keynote addresses at international conferences. Dr. Sharma has pioneered research in areas of information security, IoT, WBAN, and machine learning.
H. K. D. Sarma, PhD, is Professor in the Department of Information Technology, Sikkim Manipal Institute of Technology, India. With more than 23 years of teaching and research experience, he has successfully completed research projects funded by AICTE and the Department of Electronics and Information Technology, Government of India. He has more than 70 publications in peer-reviewed journals, book chapters, and conference proceedings as well as edited books to his credit.
S. R. Biradar, PhD, is Professor in the Information Science and Engineering Department and Deputy Dean (Academic Programs) at SDM College of Engineering and Technology, Dharwad, Karnataka, India. He has published over 65 journal and conference papers and has received travel grants from the Department of Science and Technology, Government of India, to present his papers at international conferences. With more than 22 years of research and teaching experience, he currently focuses on networks, the Internet of Things, and big data.
H. K. D. Sarma, PhD, is Professor in the Department of Information Technology, Sikkim Manipal Institute of Technology, India. With more than 23 years of teaching and research experience, he has successfully completed research projects funded by AICTE and the Department of Electronics and Information Technology, Government of India. He has more than 70 publications in peer-reviewed journals, book chapters, and conference proceedings as well as edited books to his credit.
S. R. Biradar, PhD, is Professor in the Information Science and Engineering Department and Deputy Dean (Academic Programs) at SDM College of Engineering and Technology, Dharwad, Karnataka, India. He has published over 65 journal and conference papers and has received travel grants from the Department of Science and Technology, Government of India, to present his papers at international conferences. With more than 22 years of research and teaching experience, he currently focuses on networks, the Internet of Things, and big data.
Content
1. Digi-Health: Technology and Healthcare Dynamics 2. Role of Telemedicine and e-Doctors for the Betterment of Future Medical Facilities in India 3. IoT-Based Framework for a Healthcare Information System Using Cloud Computing: Opportunities, Challenges, Security, and Future Directions 4. A Study on Uninterrupted Security in an IoT-Based Healthcare System 5. IoHT: Healthcare with the Internet of Things 6. Cloud Computing in Healthcare 7. Impact of Deliberate Resources (Cloud Computing) to Sustain a Smart and Preventive Health Ecosystem 8. Medical Image Authentication Using a Watermarking Technique in Cloud Computing 9. A Low Power Bluetooth-Based Pulse-Oxy Tracker 10. Development of a Location Tracker App for a Patient Tracking System 11. Probabilistic Detection and Prevention of Coronavirus Covid-19 Using Smartphones 12. Tumor Extraction System Using ELM and Modified K-Means Clustering 13. Machine Learning Model to Detect Cancerous Cells through Image Processing 14. 5G to 6G in Robotic Telesurgery 15. Music Recommendation System Based on Users' Rating as a Cloud-Based Healthcare Information System 16. IoMusT2: Internet of Music Therapy Things to Improve Mental Health Management 17. Data Science Deployment in Healthcare Systems to Fight against the Covid-19 Pandemic 18. Internet of Things in Healthcare: Changing the Landscape 19. Design and Prototyping of a Cloud-Based Predictive Model for Enrichment of a Nutrition Plan 20. Robotics in the Healthcare Industry
