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Pervasive Healthcare: A Compendium of Critical Factors for Success 2022 ed. [Kõva köide]

  • Formaat: Hardback, 379 pages, kõrgus x laius: 235x155 mm, kaal: 836 g, 67 Illustrations, color; 26 Illustrations, black and white; XX, 379 p. 93 illus., 67 illus. in color., 1 Hardback
  • Sari: EAI/Springer Innovations in Communication and Computing
  • Ilmumisaeg: 16-Nov-2021
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 3030777456
  • ISBN-13: 9783030777456
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  • Formaat: Hardback, 379 pages, kõrgus x laius: 235x155 mm, kaal: 836 g, 67 Illustrations, color; 26 Illustrations, black and white; XX, 379 p. 93 illus., 67 illus. in color., 1 Hardback
  • Sari: EAI/Springer Innovations in Communication and Computing
  • Ilmumisaeg: 16-Nov-2021
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 3030777456
  • ISBN-13: 9783030777456
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.

1 Pervasive Healthcare Computing and its Contribution to Hospitals, Chronic and Preventive Care
1(16)
Abdullah
Hagos Yirgaw
Solomon Aregawi
Haftay Gebrezgabiher
Mahfuzul Huda
2 The Imperative Role of Pervasive Data in Healthcare
17(14)
Anwar Ali Sathio
Arz Muhammad Brohi
3 Pervasive Healthcare Computing: Applications, Challenges and Solutions
31(16)
Abdullah
Gezahagn Haileslassie Gezahagn
Teklay Teklu
Hagos Yirgaw
Mahfuzul Huda
4 Pervasive Healthcare Computing as a Scientific Care Discipline for Patients
47(12)
Mahfuzul Huda
Mohammad Zubair Khan
Abdullah
5 Improving the Healthcare and Public Health Critical Infrastructure by Soft Computing: An Overview
59(14)
Mohammad Haroon
Manish Madhav Tripathi
Tamim Ahmad
Afsaruddin
6 An Approach Towards Privacy and Security in Pervasive Healthcare System
73(14)
Nazish Siddiqui
Syed Haider Abbas
7 Body Sensor Networks for Healthcare: Advancements and Solutions
87(16)
Ash Mohammad Abbas
8 Artificial Intelligence Algorithms for Healthcare and N euro rehabilitation Engineering
103(16)
Sateesh Reddy Avutu
Sudip Paul
9 Enabling Speech Emotional Intelligence as a Service in Homecare Platforms
119(26)
Panagiotis Stavrianos
Andrianos Pavlopoulos
Ilias Maglogiannis
10 A Study of the Impact of Covid-19 Using a Sieve Approach
145(8)
Brijesh Kumar Bhardwaj
Kavita Srivastava
11 A Comparative Study on Data Mining Approach Using Machine Learning Techniques: Prediction Perspective
153(14)
Anshul Mishra
M. H. Khan
Waris Khan
Mohammad Zunnun Khan
Nikhil Kumar Srivastava
12 Indoor Air-Quality Monitoring Systems: A Comprehensive Review of Different IAQM Systems
167(18)
Rasha Shakir AbdulWahhab
Karan Jetly
Shqran Shakir
13 Computer-Based Techniques for Detecting the Neurological Disorders
185(22)
Mohd. Suhaib Kidwai
Mohd. Maroof Siddiqui
14 A Prediction of Disease Using Machine Learning Approach
207(10)
Surabhi Saxena
Nupur Soni
Akhilesh Kumar
Anshul Mishra
15 Security in Digital Healthcare System
217(16)
Manish Madhava Tripathi
Mohammad Haroon
Zunnun Khan
Mohammad Shahid Husain
16 Classification Algorithms for Predicting Diabetes Mellitus: A Comparative Analysis
233(22)
Ravinder Ahuja
Prashant Dixit
Alisha Banga
S. C. Sharma
17 Blockchain Technology for Healthcare Record Management
255(32)
Mohammad Faisal
Halima Sadia
Tasneem Ahmed
Nashra Javed
18 An Experimental Approach for Prediction of Breast Cancer Diseases Using Clustering Concepts
287(8)
Amit Kumar Bhasker
Rama Nandan Tripathi
Nawazish Naweed
19 Post-COVID-19 View of Indian Economy with Emphasis on Service Sector: A Regression Implementation
295(30)
Alakananda Chakraborty
Muskan Jindal
Shruti Gupta
20 Diabetes Management System in Mauritius: Current Perspectives and Potentials of Pervasive Healthcare Technologies
325(24)
Geshwaree Huzooree
Kavi Khedo
Noorjehan Joonas
21 Aiding IoT and Cloud to Control COVHM9: A Systematic Approach
349(18)
N. Ambika
Index 367
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 ArtificialIntelligence (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 Bachelors, Masters 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 indata 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 masters in information technology from the Indian Institute of Information Technology (IIIT), Allahabad, and a bachelors 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 onhealthcare 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.