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Books > Medicine > Clinical & internal medicine > Ophthalmology
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Machine Learning in Clinical Neuroscience - Foundations and Applications (Paperback, 1st ed. 2022)
Loot Price: R3,819
Discovery Miles 38 190
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Machine Learning in Clinical Neuroscience - Foundations and Applications (Paperback, 1st ed. 2022)
Series: Acta Neurochirurgica Supplement, 134
Expected to ship within 10 - 15 working days
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This book bridges the gap between data scientists and clinicians by
introducing all relevant aspects of machine learning in an
accessible way, and will certainly foster new and serendipitous
applications of machine learning in the clinical neurosciences.
Building from the ground up by communicating the foundational
knowledge and intuitions first before progressing to more advanced
and specific topics, the book is well-suited even for clinicians
without prior machine learning experience. Authored by a wide array
of experienced global machine learning groups, the book is aimed at
clinicians who are interested in mastering the basics of machine
learning and who wish to get started with their own machine
learning research. The volume is structured in two major parts: The
first uniquely introduces all major concepts in clinical machine
learning from the ground up, and includes step-by-step instructions
on how to correctly develop and validate clinical prediction
models. It also includes methodological and conceptual foundations
of other applications of machine learning in clinical neuroscience,
such as applications of machine learning to neuroimaging, natural
language processing, and time series analysis. The second part
provides an overview of some state-of-the-art applications of these
methodologies. The Machine Intelligence in Clinical Neuroscience
(MICN) Laboratory at the Department of Neurosurgery of the
University Hospital Zurich studies clinical applications of machine
intelligence to improve patient care in clinical neuroscience. The
group focuses on diagnostic, prognostic and predictive analytics
that aid in decision-making by increasing objectivity and
transparency to patients. Other major interests of our group
members are in medical imaging, and intraoperative applications of
machine vision.
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