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This book introduces a variety of well-proven and newly developed
nature-inspired optimization algorithms solving a wide range of
real-life biomedical and healthcare problems. Few solo and hybrid
approaches are demonstrated in a lucid manner for the effective
integration and finding solution for a large-scale complex
healthcare problem. In the present bigdata-based computing
scenario, nature-inspired optimization techniques present adaptive
mechanisms that permit the understanding of complex data and
altering environments. This book is a voluminous collection for the
confront faced by the healthcare institutions and hospitals for
practical analysis, storage, and data analysis. It explores the
distinct nature-inspired optimization-based approaches that are
able to handle more accurate outcomes for the current biomedical
and healthcare problems. In addition to providing a
state-of-the-art and advanced intelligent methods, it also
enlightens an insight for solving diversified healthcare problems
such as cancer and diabetes.
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