Covers the fundamentals of Machine Learning and Deep Learning in
the context of healthcare applications Discusses various data
collection approaches from various sources and how to use them in
Machine Learning/Deep Learning models Integrates several aspects of
AI-based Computational Intelligence like Machine Learning and Deep
Learning from diversified perspectives which describe recent
research trends and advanced topics in the field Explores the
current and future impacts of pandemics and risk mitigation in
healthcare with advanced analytics Emphazises feature selection as
an important step in any accurate model simulation, ML/DL methods
are used to help train the system and extract the positive solution
implicitly
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