Pervasive Healthcare, 1st ed. 2022 A Compendium of Critical Factors for Success EAI/Springer Innovations in Communication and Computing Series
Langue : Anglais
This book provides in depth knowledge about critical factors involved in the success of pervasive healthcare. The book first presents critical components and importance of pervasive healthcare. The authors then give insight into the pervasive healthcare information systems and key consideration related to remote patient monitoring and safety. The book provides in-depth discussion about the security issues and protocols for pervasive healthcare. This book explores concepts and techniques behind the successive pervasive healthcare systems by providing in-depth knowledge about patient empowerment, remote patient monitoring, network establishment and protocols for effective pervasive healthcare. The book also provides case studies in the field. It is an ideal resource for researchers, students and healthcare organizations to get insight about the state of the art in pervasive healthcare systems.
- Provides current research, developments, and applicationsin pervasive healthcare;
- Includes technologies such as machine learning, cryptography, fog computing, and big data in the advancement of e-healthcare;
- Pertinent for researchers, students, practitioners and healthcare decision makers.
Introduction.- Hybrid Machine Learning Techniques for Reliability and Security of Healthcare IoT Data.- Cryptographic Operations and Approaches for Privacy of IoT Data in healthcare.- Standards and Approaches for use of Blockchain Technology in Pervasive Healthcare.- Prediction of REM sleep behaviour disorder using EEG signal applied EMG 1 EMG 2 channel.- Healthcare Assisted by Fog Computing for Secure Data Transmission in Healthcare IoTs.- Experimental approaches for prediction of breast cancer diseases using clustering concepts.- Incident reporting system for Pervasive Healthcare.- Blockchain Application for Healthcare record management.- Applying Machine Learning Approach for Disease prediction.- Mobile system for remote patient monitoring.- Securing Pervasive Healthcare system.- Remote Patient Monitoring: Benefits, Applications and Issues.- Self-reporting in Pervasive Healthcare.- Role of Big Data Analytics in Pervasive Healthcare.- ML Techniques for remote patient activity monitoring.- Trust Management in Pervasive Healthcare.- Disease Detection using Android App.- Application of computer assisted machine learning based techniques in detecting neurological disorders.- Conclusion.
Dr. Mohammad Shahid Husain is a Research professional and Faculty member with 14 years of teaching & research experience. He is currently working as Assistant Professor in College of Applied Sciences, University of Technology & Applied Sciences, Oman. He has done his PhD in Computer Science & Engineering from Integral University, Lucknow (www.iul.ac.in), India. He did his M.Tech. in Information Technology (spl: Intelligent System) from the Indian Institute of Information Technology, Allahabad, India, which is one among the premier research Institute of India. His area of interest includes Artificial Intelligence, Information Retrieval, Natural Language Processing, Data Mining, Web mining, Sentiment Analysis and Computer Networks & Security. Dr. Mohd. Shahid Husain has published 3 books, 11 book chapters & more than 30 research papers in Journals/conferences of international repute. He was involved with many sponsored projects as PI/Co-PI. Currently he is involved in 1 ongoing project sponsored by CAS, MoHE. He is also contributing his knowledge and experience as Invited speaker, member of Editorial Board/Advisory committee and TPC in various international Journals/Conferences of repute. Dr. Mohd Shahid Husain is active member of different professional bodies including ACM, IEEE young professionals, IEEE-TCII, ISTE, CSTA, IACSIT. Dr. Mohd Shahid Husain qualified UGC-NET (National Eligibility Test) in June 2014 and GATE (Graduate Aptitude Test in Engineering) in 2008.
Dr. Muhamad Hariz Bin Muhamad Adnan is a senior lecturer at Universiti Pendidikan Sultan Idris, Malaysia. He gained his PhD in IT in the area of cloud computing, autonomous negotiation and Artificial Intelligence (AI) from Universiti Teknologi PETRONAS, Malaysia, and Master of Science (Computer Science), from Universiti Sains Malaysia. He also obtained Bachelor of Computer Science from Universiti Sains Malaysia. His research interest covers areas of Artificial
Provides current research, developments, and applications in pervasive healthcare Includes technologies such as machine learning, cryptography, fog computing, and big data in the advancement of e-healthcare Pertinent for researchers, students, practitioners and healthcare decision makers
Date de parution : 11-2022
Ouvrage de 379 p.
15.5x23.5 cm
Date de parution : 11-2021
Ouvrage de 379 p.
15.5x23.5 cm
Thèmes de Pervasive Healthcare :
© 2024 LAVOISIER S.A.S.