Machine Learning in Clinical Neuroscience: Foundations and Applications

This book introduces clinicians to the basics of machine learning and its applications in clinical neuroscience, with a focus on diagnostic, prognostic, and predictive analytics. Authored by experienced global machine learning groups, it is well-suited for clinicians without prior experience and aims to foster new and serendipitous applications of machine learning in the field.

Format: Paperback / softback
Length: 361 pages
Publication date: 05 December 2022
Publisher: Springer Nature Switzerland AG

This comprehensive book serves as a vital bridge between data scientists and clinicians, effectively introducing all relevant aspects of machine learning in a user-friendly manner. By building from the ground up, it ensures that foundational knowledge and intuitions are communicated clearly before delving into more advanced and specific topics. This makes it an ideal resource for clinicians without prior machine learning experience, allowing them to grasp the fundamentals and embark on their own machine learning research endeavors. Authored by a diverse team of experienced global machine learning groups, this book is specifically tailored to clinicians who are eager to master the basics of machine learning and explore its potential applications in clinical neuroscience.

The volume is organized into two major parts. The first part serves as a comprehensive introduction to clinical machine learning, covering key concepts from the ground up. It includes step-by-step instructions on how to develop and validate clinical prediction models, along with methodological and conceptual foundations for other applications of machine learning in clinical neuroscience, such as neuroimaging, natural language processing, and time series analysis. The second part provides an overview of some state-of-the-art applications of these methodologies, highlighting their practical implications in clinical practice.

The Machine Intelligence in Clinical Neuroscience (MICN) Laboratory at the Department of Neurosurgery of the University Hospital Zurich is a leading center dedicated to studying clinical applications of machine intelligence to enhance patient care in clinical neuroscience. The group's research focuses on diagnostic, prognostic, and predictive analytics, aiming to improve decision-making by increasing objectivity and transparency for patients. Additionally, the group has significant interests in medical imaging and intraoperative neurophysiological monitoring.

By bridging the gap between data science and clinical practice, this book empowers clinicians to harness the power of machine learning and contribute to the advancement of clinical neuroscience. Its comprehensive coverage, practical insights, and interdisciplinary approach make it an invaluable resource for researchers, practitioners, and students alike.

Weight: 915g
Dimension: 279 x 210 (mm)
ISBN-13: 9783030852948
Edition number: 1st ed. 2022