Intelligent Biomedical Technologies and Applications for Healthcare 5.0

Lalit Garg, Gayatri Mirajkar, Sanjay Misra, Vijay Kumar Chattu

• Publisher: Academic Press
• Year: 2024
• Topic: Computer Science
• eBook ISBN:
  9780443220395
• Subtopic: Artificial Intelligence (AI) & Semantics
• Index: Computer Science

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

Table of contents

• Intelligent Biomedical Technologies and Applications for Healthcare 5.0
• Chapter 1 Profiling and validating Fast Healthcare Interoperability Resource for maternal and neonatal child health referrals at primary healthcare level through BlockMom
• Chapter 2 A cost-effective way of implementing big data in developing countries—Case of Malawi
• Chapter 3 Characterizing hospital admission patterns and length of stay in the emergency department at Mater Dei Hospital Malta
• Chapter 4 Machine learning approach for enhancement in healthcare
• Chapter 5 Disease detection and treatment methods
• Chapter 6 Hybrid fuzzy-based improved particle swarm optimization technique for cancer cell detection
• Chapter 7 A review on COVID-19 (SARS-CoV-2) pandemic: Using artificial intelligence and machine learning applications
• Chapter 8 Validity, reliability, and usability assessment of smartphone-based Health 5.0 application for measuring chronic low back pain
• Chapter 9 Healthcare 5.0 opportunities and challenges: A literature review
• Chapter 10 An impact of reliability in healthcare Internet of Things (HIoT)
• Chapter 11 Investigating the effect of a software intervention based on a theoretical behavior framework to encourage ergonomic compliance during computing device usage
• Chapter 12 Machine learning approach for post-covid disease prediction
• Chapter 13 Improving interoperability between health information technology systems used by mental health and acute hospitals
• Chapter 14 Data management in the healthcare sector—A review
• Chapter 15 Navigating the frontier: Integrating emerging biomedical technologies into modern healthcare
• Chapter 16 Healthcare cyber risk and its impact on healthcare
• Chapter 17 Machine and deep learning techniques for smart healthcare industry: Big picture and open research challenges
• Chapter 18 Precise brain stroke prediction using different machine learning algorithms
• Index