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IoT and Cloud Computing-Based Healthcare Information Systems [Hardback]

Edited by (SDM College of Engineering and Technology, India), Edited by (Sikkim Manipal Institute of Technology, India), Edited by (Mody University of Science and Technology, India)
  • Formāts: Hardback, 330 pages, height x width: 229x152 mm, weight: 680 g, 13 Tables, black and white; 90 Illustrations, black and white
  • Sērija : Biomedical Engineering
  • Izdošanas datums: 07-Jul-2023
  • Izdevniecība: Apple Academic Press Inc.
  • ISBN-10: 1774911221
  • ISBN-13: 9781774911228
  • Hardback
  • Cena: 173,06 €
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  • Bibliotēkām
  • Formāts: Hardback, 330 pages, height x width: 229x152 mm, weight: 680 g, 13 Tables, black and white; 90 Illustrations, black and white
  • Sērija : Biomedical Engineering
  • Izdošanas datums: 07-Jul-2023
  • Izdevniecība: Apple Academic Press Inc.
  • ISBN-10: 1774911221
  • ISBN-13: 9781774911228

Features new research on the contributions of IoT and cloud technology in healthcare information systems for the improvement of patient care and disease management. The chapters showcase the interface between e-health and communication technologies and their contribution to building efficient and secure healthcare information systems.



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.

 

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
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.