Del i serien Next Generation Technology Driven Personalized Medicine And Smart Healthcare

Innovation in Health Informatics

A Smart Healthcare Primer

Häftad, Engelska, 2019

1 909 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt för medlemmar vid köp för minst 249 kr.

Innovation in Health Informatics: A Smart Healthcare Primer explains how the most recent advances in information and communication technologies have paved the way for new breakthroughs in healthcare. The book showcases current and prospective applications in a context defined by an imperative to deliver efficient, patient-centered and sustainable healthcare systems. Topics discussed include big data, medical data analytics, artificial intelligence, machine learning, virtual and augmented reality, 5g and sensors, Internet of Things, nanotechnologies and biotechnologies. Additionally, there is a discussion on social issues and policy- making for the implementation of smart healthcare.

This book is a valuable resource for undergraduate and graduate students, practitioners, researchers, clinicians and data scientists who are interested in how to explore the intersections between bioinformatics and health informatics.

Provides a holistic discussion on the new landscape of medical technologies, including big data, analytics, artificial intelligence, machine learning, virtual and augmented reality, 5g and sensors, Internet of Things, nanotechnologies and biotechnologies
Presents a case study driven approach, with references to real-world applications and systems
Discusses topics with a research-oriented approach that aims to promote research skills and competencies of readers

Produktinformation

Utgivningsdatum2019-11-13
Mått191 x 235 x undefined mm
Vikt1 070 g
FormatHäftad
SpråkEngelska
SerieNext Generation Technology Driven Personalized Medicine And Smart Healthcare
Antal sidor440
FörlagElsevier Science
ISBN9780128190432

Tillhör följande kategorier

Miltiadis D. Lytras is an expert in advanced computer science and management, with extensive experience in academia and the business sector in Europe and Asia. He is a Research Professor at Deree College—The American College of Greece and a Distinguished Scientist at King Abdulaziz University, Saudi Arabia. Dr. Lytras specializes in cognitive computing, information systems, technology-enabled innovation, social networks, and knowledge management. He has coedited over 110 high-impact special issues in ISI/Scopus-indexed journals and authored more than 80 books with international publishers. Additionally, he has published over 120 high-impact papers in top-tier journals such as IEEE Transactions on Knowledge and Data Engineering and the Journal of Business Research. With 25 years of experience in Research and Development projects, Dr. Lytras has been involved in more than 70 R&D projects globally. He holds senior editorial positions in prestigious journals and is the Founding Editor and Editor in Chief of the International Journal on Semantic Web and Information Systems. Dr. Akila Sarirete is Dean of Graduate Studies and Research at Effat University. She received her PhD degree in Computer Science and Knowledge Management. Her main research interests are in artificial intelligence, knowledge management, communities of practice, machine learning, big data, and service-oriented architectures. She presented her research work in several conferences in different countries. Dr. Sarirete has a vast experience in software development industry and software engineering. She is interested in engineering education, innovation, smart cities and villages especially, the human aspect and the collaborative work.

Section A. SMART HEALTHCARE IN THE ERA OF BIG DATA AND DATA SCIENCE1. Smart Healthcare: Emerging Technologies, Best Practices and Sustainable Policies2. Syndromic surveillance models using Web data: a systematic review3. Clinical Analytics: Fusion of Big Data and Clinical InformationSection B. ADVANCED DECISION MAKING AND ARTIFICIAL INTELLIGENCE FOR SMART HEALTHCARE 4. Clinical decision support for infection control in surgical care6. Application of Machine Learning and Image Processing for Detection of Breast Cancer7. Towards information preservation in healthcare systemsSection C. EMERGING TECHNOLOGIES AND SYSTEMS FOR SMART HEALTHCARE 8. Security for Smart Healthcare and Medical Information Systems9. Cloud-based health monitoring framework using smart sensors and smartphone10. Mobile partogram - m-health technology in the promotion of parturient’s health in the delivery room11. Artificial Intelligence Techniques in Diabetic Retinal Screening: Concepts and Applications in the NHS12. Virtual Reality and Sensors for the Next Generation Medical Systems13. Portable Solution to Eye Examination for Diabetic Retinopathy Detection at an Earlier Stage14. Improved Nodule Detection in Chest X-Rays using PCA Filters15. Characterizing IOMT/Personal Area Networks LandscapeSection D. SOCIAL ISSUES AND POLICY MAKING FOR SMART HEALTHCARE 16. Threats to Patients’ Privacy in Smart Healthcare Environment17. Policy implications for smart healthcare – the international collaboration dimensionSection E. APPENDIXES18. Smart heatlhcare project descriptions19. Teaching assignments