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Artificial Intelligence and Big Data Analytics for Smart Healthcare

  • 1st Edition - October 22, 2021
  • Latest edition
  • Editors: Miltiadis Lytras, Akila Sarirete, Anna Visvizi, Kwok Tai Chui
  • Language: English

Artificial Intelligence and Big Data Analytics for Smart Healthcare serves as a key reference for practitioners and experts involved in healthcare as they strive to enhance t… Read more

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Description

Artificial Intelligence and Big Data Analytics for Smart Healthcare serves as a key reference for practitioners and experts involved in healthcare as they strive to enhance the value added of healthcare and develop more sustainable healthcare systems. It brings together insights from emerging sophisticated information and communication technologies such as big data analytics, artificial intelligence, machine learning, data science, medical intelligence, and, by dwelling on their current and prospective applications, highlights managerial and policymaking challenges they may generate.

The book is split into five sections: big data infrastructure, framework and design for smart healthcare; signal processing techniques for smart healthcare applications; business analytics (descriptive, diagnostic, predictive and prescriptive) for smart healthcare; emerging tools and techniques for smart healthcare; and challenges (security, privacy, and policy) in big data for smart healthcare. The content is carefully developed to be understandable to different members of healthcare chain to leverage collaborations with researchers and industry.

Key features

  • Presents a holistic discussion on the new landscape of data driven medical technologies including Big Data, Analytics, Artificial Intelligence, Machine Learning, and Precision Medicine
  • Discusses such technologies with case study driven approach with reference to real world application and systems, to make easier the understanding to the reader not familiar with them
  • Encompasses an international collaboration perspective, providing understandable knowledge to professionals involved with healthcare to leverage productive partnerships with technology developers

Readership

Clinicians, medical doctors, bioinformaticians

Table of contents

Section 1: Big data infrastructure, framework and design for smart healthcareSection 2: Signal processing techniques for smart healthcare applicationsSection 3: Business analytics (descriptive, diagnostic, predictive and prescriptive) for smart healthcareSection 4: Emerging tools and techniques for smart healthcareSection 5: Challenges (e.g. security, privacy, and policy) in big data for smart healthcare. While in existing books, the focus is on limited areas (sections)Section 6: Appendixes

Product details

  • Edition: 1
  • Latest edition
  • Published: October 22, 2021
  • Language: English

About the editors

ML

Miltiadis Lytras

Miltiadis D. Lytras is a Professor of Artificial Intelligence, Digital Transformation, and Knowledge Management at Effat University (Saudi Arabia) and The American College of Greece. He is an internationally recognized researcher with extensive experience in AI, data science, smart systems, and digital innovation across healthcare, education, government, and business. He has served as Principal Investigator and Senior Researcher in numerous international and national research projects and has published more than 100 peer-reviewed articles and over 40 books with leading international publishers. His work focuses on responsible and human-centered AI, advanced decision-making systems, and the strategic impact of emerging technologies on organizations and society.
Affiliations and expertise
Professor, Effat University, College of Engineering, Saudi Arabia

AS

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

AV

Anna Visvizi

Anna Visvizi is an economist and political scientist, editor, and research and political consultant with extensive experience in academia, think tank and government sectors in Europe and the United States. Associate Professor at SGH Warsaw School of Economics, Warsaw, Poland, and Visiting Scholar at Effat University, Jeddah, Saudi Arabia, Professor Visvizi’s expertise covers issues pertinent to the intersection of politics, economics, and ICT. This translates in her research and advisory roles in the fields of AI and geopolitics, smart cities and smart villages, knowledge and innovation management, and technology diffusion, especially with regard to the EU and BRI.
Affiliations and expertise
SGH Warsaw School of Economics, Warsaw, Poland and Effat University, Jeddah, Saudi Arabia

KC

Kwok Tai Chui

Dr. Kwok Tai Chui received the B.Eng. degree in electronic and communication engineering – Business Intelligence Minor, with First-class Honor, and PhD degree from City University of Hong Kong in 2013 and 2017 respectively. He was the recipient of 2nd Prize Award (Postgraduate Category) of 2014 IEEE Region 10 Student Paper Contest. Also, he received Best Paper Award in IEEE The International Conference on Consumer Electronics-China, in both 2014 and 2015. He has published more than 30 research publications in edited book, referred international journals, conferences and book chapters. His research interests include wireless communication, pattern recognition, healthcare, machine learning algorithms and optimization. He has served as various editorial positions and guest editors in referred international journals and conferences.
Affiliations and expertise
Research Assistant Professor, The Open University of Hong Kong

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