Intelligent Biomedical Technologies and Applications for Healthcare 5.0
- 1st Edition, Volume 16 - October 22, 2024
- Latest edition
- Editors: Lalit Garg, Gayatri Mirajkar, Sanjay Misra, Vijay Kumar Chattu
- Language: English
Intelligent Biomedical Technologies and Applications for Healthcare 5.0, Volume Sixteen covers artificial health intelligence, biomedical image analysis, 5G, the Internet of Medica… Read more
Intelligent Biomedical Technologies and Applications for Healthcare 5.0, Volume Sixteen covers artificial health intelligence, biomedical image analysis, 5G, the Internet of Medical Things, intelligent healthcare systems, and extended health intelligence (EHI). This volume contains four sections. The focus of the first section is health data analytics and applications. The second section covers research on information exchange and knowledge sharing. The third section is on the Internet of Things (IoT) and the Internet of Everything (IoE)-based solutions. The final section focuses on the implementation, assessment, adoption, and management of healthcare informatics solutions.
This new volume in the Advances in Ubiquitous Sensing Applications for Healthcare series focuses on innovative methods in the healthcare industry and will be useful for biomedical engineers, researchers, and students working in interdisciplinary fields of research. This volume bridges these newly developing technologies and the medical community in the rapidly developing healthcare world, introducing them to modern healthcare advances such as EHI and Smart Healthcare Systems.
- Provides a comprehensive technological review of cutting-edge information in the wide domain of Healthcare 5.0
- Introduces concepts that combine computational methods, network standards, and healthcare systems to provide a much improved, more affordable experience delivered by healthcare services to its customers
- Presents innovative solutions utilizing informatics to deal with various healthcare technology issues
Biomedical engineers, computer scientists, as well as hospital managers and medical researchers working with engineers to develop these new technologies
1. Profiling and validating Fast Healthcare Interoperability Resource for Maternal and Neonatal Child Health referrals at Primary Health Care level through BlockMom
2. A cost-effective way of implementing Big data in Health Research in developing countries – case of Malawi
3. Characterizing Hospital Admission Patterns and Length of Stay in the Emergency Department at Mater Dei Hospital Malta
4. Machine Learning Approach for Enhancement in Healthcare
5. Disease Detection and Treatment Methods
6. Hybrid Fuzzy Based Improved Particle Swarm Optimization Technique for Cancer Cell Detection
7. A review on Covid19 (SARS-CoV-2) Pandemic: Using Artificial Intelligence and Machine Learning Protocols
8. Validity, Reliability and Usability Assessment of Smartphone-based Health 5.0 Application for Measuring Chronic Low Back Pain
9. Healthcare 5.0 Opportunities and Challenges: A Literature Review
10. An Impact of Reliability in Healthcare Internet of Things (HIoT)
11. Investigating the Effect of a Software Intervention Based on a Theoretical Behaviour Framework to Encourage Ergonomic Compliance During Computing Device Usage
12. Machine Learning Approach for Post-COVID Disease Prediction
13. Improving Interoperability Between Health Information Technology Systems Used by Mental Health and Acute Hospitals
14. Data management in the healthcare sector - A review
15. Emerging biomedical technologies in healthcare
16. Healthcare Cyber Risk and its Impact on Healthcare
17. Machine and Deep learning techniques for Smart Healthcare Industry: Big-Picture, and Open Research Challenges
18. Different Machine Learning Algorithms for Precise Brain Stroke Prediction
2. A cost-effective way of implementing Big data in Health Research in developing countries – case of Malawi
3. Characterizing Hospital Admission Patterns and Length of Stay in the Emergency Department at Mater Dei Hospital Malta
4. Machine Learning Approach for Enhancement in Healthcare
5. Disease Detection and Treatment Methods
6. Hybrid Fuzzy Based Improved Particle Swarm Optimization Technique for Cancer Cell Detection
7. A review on Covid19 (SARS-CoV-2) Pandemic: Using Artificial Intelligence and Machine Learning Protocols
8. Validity, Reliability and Usability Assessment of Smartphone-based Health 5.0 Application for Measuring Chronic Low Back Pain
9. Healthcare 5.0 Opportunities and Challenges: A Literature Review
10. An Impact of Reliability in Healthcare Internet of Things (HIoT)
11. Investigating the Effect of a Software Intervention Based on a Theoretical Behaviour Framework to Encourage Ergonomic Compliance During Computing Device Usage
12. Machine Learning Approach for Post-COVID Disease Prediction
13. Improving Interoperability Between Health Information Technology Systems Used by Mental Health and Acute Hospitals
14. Data management in the healthcare sector - A review
15. Emerging biomedical technologies in healthcare
16. Healthcare Cyber Risk and its Impact on Healthcare
17. Machine and Deep learning techniques for Smart Healthcare Industry: Big-Picture, and Open Research Challenges
18. Different Machine Learning Algorithms for Precise Brain Stroke Prediction
- Edition: 1
- Latest edition
- Volume: 16
- Published: October 22, 2024
- Language: English
LG
Lalit Garg
Lalit Garg is a Senior Lecturer in Computer Information Systems at the University of Malta, Malta, and an honorary lecturer at the University of Liverpool, UK. He has been a researcher at the Nanyang Technological University, Singapore, and Ulster University, UK. He has supervised 200+ Master's dissertations, 2 DBA and 4 PhD theses and published 125+ high-impact publications in refereed journals/conferences/books, eight edited books and 22 patents. He has delivered several keynote speeches, organized/chaired international conferences, and consulted numerous public and private organizations for information systems implementation and management. His research interests are business intelligence, machine learning, data science, deep learning, cloud computing, mobile computing, the Internet of Things (IoT), information systems, management science and their applications, mainly in healthcare and medical domains. He participates in many EU and locally funded projects, including a one million euro Erasmus+ Capacity-Building project in Higher Education (CBHE), titled Training for Medical education via innovative eTechnology (MediTec), and Malta Council of science and technology's Space Research Funds. The University of Malta has awarded him the 2021-22 Research Excellence Award for exploring Novel Intelligent Computing Methods for healthcare requirements forecasting, allocation and management (NICE-Healthcare).
Affiliations and expertise
Senior Lecturer, Department of Computer Information Systems, Faculty of Information and Communication Technology, Europe, MaltaGM
Gayatri Mirajkar
Gayatri Mirajkar (Senior Member, IEEE) received the Bachelor of Engineering degree in Electronics Engineering from Karmaveer Bhaurao Patil College of Engineering, Satara, India, the Master of Technology in Electronics and Telecommunication Engineering from Dr Babasaheb Ambedkar Technological University, Lonere, India, in 2005, and the PhD degree in Electronics Engineering from Shivaji University, Kolhapur, India in 2014. She has published several papers in journals and conferences. She has presented her research contributions at IEEE International Conferences in Greece and Hong Kong. She is currently working as Professor in the Electronics and Telecommunication Engineering department of Arvind Gavali College of Engineering, Satara, India. Her research interests include biomedical image analysis, signal denoising, biometrics, cognition, and restoration techniques.
Affiliations and expertise
Professor, Electronics and Telecommunication Engineering Department, Maharashtra, IndiaSM
Sanjay Misra
Sanjay Misra, a senior member of IEEE and ACM Distinguished Lecturer, is a Senior Scientist at the Institute of Energy Technology (IFE), Halden, Norway. Before joining IFE, he was associated with the Computer Science and Communication department of Østfold University College, Halden, Norway. He has 25 years of wide academic administration and research experience in various universities in Asia, Europe, and Africa. He has authored more than 300 articles and received several awards for outstanding publications. He has delivered more than 100 keynote/invited speeches at several international conferences and institutes in more than 60 countries. His expertise is in the area of Applied Informatics (Cyber Security, Health Informatics, Software Engineering Applications, and Intelligent systems using AI and computational techniques). He has been amongst the top 2% of scientists in the world (published by Stanford University) for the last three consecutive years, ranked no. 2 in the whole of Africa in computer science (as per Elsevier: Scival analysis during 2017-2022) and also got several awards for outstanding publications (2014 IET Software Premium Award (UK), TUBITAK-Turkish Higher Education, and Atilim University). He is an Editor-in-Chief of IT Personnel and Project Management and International Journal of Human Capital and Information Technology Professionals (IGI Global), and editor in various journals and books.
Affiliations and expertise
Senior Scientist, Institute for Energy Technology, Department of Applied Data Science, Halden, NorwayVC
Vijay Kumar Chattu
Vijay Kumar Chattu is a Physician and Global Health Specialist with vast international experience. He is an Associate Professor- Public Health at Tennessee State University, USA, and he conducts interdisciplinary research focused on health, technology, trade, and international relations. He is also a Senior Research Scientist at the ReSTORE lab at the University of Toronto and holds an Adjunct Professorship in public health at the University of Alberta. Dr. Chattu completed his MBBS and MD in India, his MPH in Belgium, his MPhil in South Africa, PhD at the University of the West Indies, and earned a Fellowship in Digital Health/Occupational Medicine from the University of Toronto. In 2022, he was part of the first cohort of AI4PH trainees (Artificial Intelligence for Public Health), funded by the Government of Canada.
Dr Chattu is also an Adjunct Professor at the School of Computer Science Engineering (SCOPE), Vellore Institute of Technology, Chennai. He is also an Associate Research Fellow at the United Nations University- CRIS, Belgium. He is a recipient of the NIH-Fogarty AITRP Grant (UCLA), the Fogarty MHIRT Grant (U of Michigan), and numerous awards from Harvard University, the Government of Canada, the University of Toronto, DGDC Belgium, Salzburg Global Seminar- Austria, and WHO-IARC France, to name a few.
Affiliations and expertise
Senior Research Scientist, ReSTORE Lab, Department of Occupational Science & Occupational Therapy, Temerty Faculty of Medicine, University of Toronto, Toronto, CanadaRead Intelligent Biomedical Technologies and Applications for Healthcare 5.0 on ScienceDirect