Editors:
Highlights the opportunities and challenges of artificial intelligence in business, education, and healthcare from institutional, environmental, social perspectives
Includes empirical and theoretical research
Presents applications of Artificial Intelligence in Business, Education and Healthcare
Part of the book series: Studies in Computational Intelligence (SCI, volume 954)
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Table of contents (27 chapters)
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Front Matter
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Artificial Intelligence, Blockchain Technology, Entrepreneurship and Business Success
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Front Matter
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FinTech, RegTech, Financial Systems and Artificial Intelligence
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Front Matter
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Implementation of Artificial Intelligence in Healthcare, Education and Public Sector
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Front Matter
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About this book
Editors and Affiliations
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College of Business and Finance, Ahlia University, Manama, Bahrain
Allam Hamdan, Anjum Razzaque
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Scientific Research Group in Egypt (SRGE), Cairo University, Giza, Egypt
Aboul Ella Hassanien
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Ahlia University, Manama, Bahrain
Reem Khamis
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Middle East Technical University, Northern Cyprus Campus, Kalkanlı, Via Mersin, Turkey
Bahaaeddin Alareeni
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Palestine Technical University—Kadoori, Tulkarm, Palestine, State of
Bahaa Awwad
Bibliographic Information
Book Title: Applications of Artificial Intelligence in Business, Education and Healthcare
Editors: Allam Hamdan, Aboul Ella Hassanien, Reem Khamis, Bahaaeddin Alareeni, Anjum Razzaque, Bahaa Awwad
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-030-72080-3
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-72079-7Published: 13 July 2021
Softcover ISBN: 978-3-030-72082-7Published: 14 July 2022
eBook ISBN: 978-3-030-72080-3Published: 12 July 2021
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XI, 511
Number of Illustrations: 9 b/w illustrations, 38 illustrations in colour
Topics: Computational Intelligence, Data Engineering, Artificial Intelligence, Biomedical Engineering and Bioengineering, Business Mathematics