IoT and Cloud Computing-Based Healthcare Information Systems (Biomedical Engineering)

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IoT and Cloud Computing-Based Healthcare Information Systems (Biomedical Engineering)

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  • 製本 Hardcover:ハードカバー版/ページ数 330 p.
  • 言語 ENG
  • 商品コード 9781774911228
  • DDC分類 610.285

Full 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.

Contents

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