Pervasive Healthcare: A Compendium of Critical Factors for Success

ISBN-13: 9783030777456 / Angielski / Twarda / 2021 / 424 str.

Mohammad Shahid Husain; Muhamad Hariz Bin Muhamad Adnan; Mohammad Zunnun Khan

Spis treści

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.

O autorze

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 Intelligence (AI), data mining, Multi-Agent Systems (MAS), cloud computing and digitalization. He has been working on several cloud-based projects for Universiti Teknologi PETRONAS and the Malaysian government grants. He has more than 10 journals and proceedings published in his areas of expertise.

Dr. Mohammad Zunnun Khan is working as an assistant professor in the department of computer science and engineering, Integral University, India; he is having more than 10 years of research. academic experience. He had earned his Bachelor’s, Master’s and Ph.D. degrees in the field of computer science and engineering. He has authored around twenty research articles on different topics related to computer science and engineering, in various national and international journals and conferences of repute. He has also contributed as an Editorial Board and Reviewer board member of different International and National conferences and journals. He is area of interest in data science, cloud quality, security, software quality, and security, data mining. He has also published one book and authored around five book chapters. Dr Mohammad Zunnun Khan is also a member of different professional bodies including CSI, IEEE.

Dr. Saurabh Shukla is working as Postdoctoral Researcher in Data Science Institute, National University of Ireland. He completed his Ph.D. in Information Technology (IT) from Universiti Teknologi PETRONAS (UTP), Malaysia. He completed his master’s in information technology from the Indian Institute of Information Technology (IIIT), Allahabad, and a bachelor’s degree in Information Technology from Dr. A.P.J. Abdul Kalam Technical University (AKTU), Lucknow. He has an academic experience of more than 5 years in Computer Science & Engineering. He is an active researcher in the field of healthcare Internet-of-Things (IoTs) and machine learning. He was also involved with the content development, teaching, and assessment of the Advance Programming using C, Python, and C++ a core course for all IT/CS engineering students at Rajiv Gandhi Institute of Petroleum Technology (RGIPT), PSIT, and in UTP. He has published more than 12 research articles and 6 book chapters. In recognition of his articles in Q1/Q2 journals and quality publications he has received many awards and certificates. He received research grants like UTP-Hitachi Collaborative Research, Long Term Research Grant Scheme 2018, UTP-PAF KIET International Collaborative Research Funding (ICRF) 2019 and Collaborative Research Funding (CRF) 2019.

Mr. Fahad U Khan is a Healthcare IT professional with 10+ years of proven experience in Healthcare IT -Consulting, Product development, Product Implementation. Rich domain expertise in the Provider side of the business. Healthcare consulting engagements involved helping clients to achieve MU certifications, HIMSS EMRAM compliance, develop custom solutions. Worked on healthcare analytics projects to implement KPIs for Operational excellence, quality of care, population health, resource management etc. He is having a good understanding of clinical systems and have hands-on experience of development and implementation of leading EHR products. Currently focused on Middle East and Europe region and engagement includes consulting for HIMSS EMRAM compliance, hospital balanced scorecards, performance management framework and designing solutions for Integrated care, clinical pathways, population health analytics. His Specialties includes Healthcare Consulting, US Health Provider and Payer Operations, ICD-10, ACO, Population Health Analytics, Hospital Performance Management, Healthcare IT consulting, Business Consulting, Business Development, Hospital Administration.

Blurb

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 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.