Intelligent Biomedical Technologies and Applications for Healthcare 5.0 (eBook, ePUB)

Redaktion: Garg, Lalit; Chattu, Vijay Kumar; Misra, Sanjay; Mirajkar, Gayatri

• Format: ePub

Produktbeschreibung

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

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Produktdetails

• Verlag: Elsevier Science & Techn.
• Seitenzahl: 350
• Erscheinungstermin: 17. Oktober 2024
• Englisch
• ISBN-13: 9780443220395
• Artikelnr.: 72248943

Inhaltsangabe

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