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Books > Computing & IT > Applications of computing > Artificial intelligence
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Machine Learning for Healthcare Applications (Hardcover)
Loot Price: R5,219
Discovery Miles 52 190
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Machine Learning for Healthcare Applications (Hardcover)
Expected to ship within 12 - 17 working days
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When considering the idea of using machine learning in healthcare,
it is a Herculean task to present the entire gamut of information
in the field of intelligent systems. It is, therefore the objective
of this book to keep the presentation narrow and intensive. This
approach is distinct from others in that it presents detailed
computer simulations for all models presented with explanations of
the program code. It includes unique and distinctive chapters on
disease diagnosis, telemedicine, medical imaging, smart health
monitoring, social media healthcare, and machine learning for
COVID-19. These chapters help develop a clear understanding of the
working of an algorithm while strengthening logical thinking. In
this environment, answering a single question may require accessing
several data sources and calling on sophisticated analysis tools.
While data integration is a dynamic research area in the database
community, the specific needs of research have led to the
development of numerous middleware systems that provide seamless
data access in a result-driven environment. Since this book is
intended to be useful to a wide audience, students, researchers and
scientists from both academia and industry may all benefit from
this material. It contains a comprehensive description of issues
for healthcare data management and an overview of existing systems,
making it appropriate for introductory and instructional purposes.
Prerequisites are minimal; the readers are expected to have basic
knowledge of machine learning. This book is divided into 22
real-time innovative chapters which provide a variety of
application examples in different domains. These chapters
illustrate why traditional approaches often fail to meet customers'
needs. The presented approaches provide a comprehensive overview of
current technology. Each of these chapters, which are written by
the main inventors of the presented systems, specifies requirements
and provides a description of both the chosen approach and its
implementation. Because of the self-contained nature of these
chapters, they may be read in any order. Each of the chapters use
various technical terms which involve expertise in machine learning
and computer science.
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