£124.31

Springer Machine Learning in Clinical Neuroscience Vol 134

9783030852917

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Description

Explore the intersection of technology and brain science with Machine Learning in Clinical Neuroscience: Foundations and Applications. Published by Springer as part of the Acta Neurochirurgica Supplement (Volume 134), this specialized text provides a focused look at how machine learning techniques are being applied within the field of clinical neuroscience. This volume serves as a dedicated resource for professionals and researchers interested in the practical use of computational models to understand neurological functions and clinical outcomes. By bringing together foundational concepts and real-world applications, the text addresses the growing role of data-driven methods in modern medical practice. Whether you are studying the evolving landscape of neuroscientific research or looking for academic supplements to support your clinical knowledge, this Springer publication offers a structured approach to understanding these complex technological integrations. It is an essential addition to any academic or professional library focused on the advancement of neuroscience through computational science.

Key Features

Part of the Acta Neurochirurgica Supplement series, specifically volume 134.

Published by Springer, a leading name in academic and scientific literature.

Focuses on the application of machine learning within clinical neuroscience settings.

Covers both the foundational principles and practical applications of the technology.

Designed for researchers and professionals in the medical and neuroscientific fields.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
04 December 2021
Listed Since
20 August 2020

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No barcode data available

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