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This book constitutes the refereed post-conference proceedings of
the Third International Conference on AI-assisted Solutions for
COVID-19 and Biometrical Applications in Smart Cities, AISCOVID-19
2022, held in November 2022 in Braga, Portugal. The 8 full papers
of AISCOVID-19 2022 were carefully selected from 21 submissions and
present a comprehensive and up-to-date look at the intersection of
COVID-19, big data, machine learning, deep learning, and
healthcare. The theme of AISCOVID-19 2022 was Healthcare effective
and efficient Solutions for COVID-19 that can be achieved using
Artificial Intelligence and Computer-Assisted paradigms.
Developing new approaches and reliable enabling technologies in the
healthcare industry is needed to enhance our overall quality of
life and lead to a healthier, innovative, and secure society.
Further study is required to ensure these current technologies,
such as big data analytics and artificial intelligence, are
utilized to their utmost potential and are appropriately applied to
advance society. Big Data Analytics and Artificial Intelligence in
the Healthcare Industry discusses technologies and emerging topics
regarding reliable and innovative solutions applied to the
healthcare industry and considers various applications, challenges,
and issues of big data and artificial intelligence for enhancing
our quality of life. Covering a range of topics such as electronic
health records, machine learning, and e-health, this reference work
is ideal for healthcare professionals, computer scientists, data
analysts, researchers, practitioners, scholars, academicians,
instructors, and students.
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