Innovation in Health Informatics

Innovation in Health Informatics

A Smart Healthcare Primer

1st Edition - November 13, 2019

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  • Editors: Miltiadis Lytras, Akila Sarirete
  • eBook ISBN: 9780128190449
  • Paperback ISBN: 9780128190432

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Description

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.

Key Features

  • 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

Readership

Graduate students and researchers in bioinformatics and medical informatics; clinicians; practitioners; data scientists

Table of Contents

  • Section A. SMART HEALTHCARE IN THE ERA OF BIG DATA AND DATA SCIENCE
    1. Smart Healthcare: Emerging Technologies, Best Practices and Sustainable Policies
    Miltiadis D. Lytras, Anna Visvizi and Akila Sarirete
    2. Syndromic surveillance models using Web data: a systematic review
    Loukas Samaras
    3. Clinical Analytics: Fusion of Big Data and Clinical Information
    Adil Rajput

    Section B. ADVANCED DECISION MAKING AND ARTIFICIAL INTELLIGENCE FOR SMART HEALTHCARE 
    4. Clinical decision support for infection control in surgical care
    i5. Human Activity Recognition using Machine Learning Methods in a Smart Healthcare System
    Abdulhamit Subasi Sr.
    6. Application of Machine Learning and Image Processing for Detection of Breast Cancer
    Muhammad Kashif
    7. Towards information preservation in healthcare systems
    Omar El Zarif

    Section C. EMERGING TECHNOLOGIES AND SYSTEMS FOR SMART HEALTHCARE 
    8. Security for Smart Healthcare and Medical Information Systems
    Yang Lu
    9. Cloud-based health monitoring framework using smart sensors and smartphone
    Abdulhamit Subasi Sr.
    10. Mobile partogram - m-health technology in the promotion of parturient’s health in the delivery room
    Karla Maria Carneiro Rolim
    11. Artificial Intelligence Techniques in Diabetic Retinal Screening: Concepts and Applications in the NHS
    Michael Kouroupis
    12. Virtual Reality and Sensors for the Next Generation Medical Systems
    Miguel Felix Mata and Miguel Torres-Ruiz
    13. Portable Solution to Eye Examination for Diabetic Retinopathy Detection at an Earlier Stage
    Nighat Mir
    14. Improved Nodule Detection in Chest X-Rays using PCA Filters
    Mohammad A.U. Khan
    15. Characterizing IOMT/Personal Area Networks Landscape
    Adil Rajput

    Section D. SOCIAL ISSUES AND POLICY MAKING FOR SMART HEALTHCARE 
    16. Threats to Patients’ Privacy in Smart Healthcare Environment
    Samara M. Ahmed
    17. Policy implications for smart healthcare – the international collaboration dimension
    Miltiadis D. Lytras, Anna Visvizi and Akila Sarirete

    Section E. APPENDIXES
    18. Smart heatlhcare project descriptions
    19. Teaching assignments

Product details

  • No. of pages: 440
  • Language: English
  • Copyright: © Academic Press 2019
  • Published: November 13, 2019
  • Imprint: Academic Press
  • eBook ISBN: 9780128190449
  • Paperback ISBN: 9780128190432

About the Editors

Miltiadis Lytras

Dr. Miltiadis D. Lytras is an expert in advanced computer science and management, editor, lecturer, and research consultant, with extensive experience in academia and the business sector in Europe and Asia. Dr. Lytras is a Research Professor at Deree College - The American College of Greece and a Distinguished Scientist at the King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia. Dr. Lytras is a world-class expert in the fields of cognitive computing, information systems, technology enabled innovation, social networks, computers in human behavior, and knowledge management. In his work, Dr. Lytras seeks to bring together and exploit synergies among scholars and experts committed to enhancing the quality of education for all.

Affiliations and Expertise

Research Professor, Deree College, The American College of Greece, Greece; Distinguished Scientist, King Abdulaziz University, Kingdom of Saudi Arabia

Akila Sarirete

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.

Affiliations and Expertise

Assistant Professor, Computer Science Department, College of Engineering, Deree College, The American College of Greece, Greece and Dean of Graduate Studies and Research, Effat University, Kingdom of Saudi Arabia

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