IoT and Cloud Computing-Based Healthcare Information Systems

Anand Sharma

ISBN 10: 1774911221 / ISBN 13: 9781774911228

Editore: Apple Academic Press, 2023

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nach der Bestellung gedruckt Neuware - Printed after ordering - 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.

Codice articolo 9781774911228

Dati bibliografici

• Titolo: IoT and Cloud Computing-Based Healthcare Information Systems
• Editore: Apple Academic Press
• Data di pubblicazione: 2023
• Lingua: Inglese
• ISBN 10: 1774911221
• ISBN 13: 9781774911228
• Rilegatura: Buch
• Condizione: Neu
• Dimensioni: 235 L x 157 A x 24 P (millimetri) 235 millimetri di larghezza per 157 millimetri di altezza per 24 millimetri di profondità
• Peso: 669 grammi

Descrizione articolo

Riassunto

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.

Informazioni sull?autore

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.